TWI413900B - Method and device for vertically scaling pixel data - Google Patents

Abstract

An image processing apparatus that includes a red, green and blue (RGB) color space to luminance color, blue color difference and red color difference (YCbCr) color space converter module for converting a line of pixels from the RGB color space to the YCbCr color space. The line of pixels has a first sampling rate. The image processing apparatus further comprises a chrominance decimator module coupled to the RGB to YCbCr color space converter module. The chrominance decimator module is configured to generate an intermediate representation of the line of pixels having a second sampling rate that is less than the first sampling rate. The amount of data representing the intermediate representation is less than the amount of data representing the line of pixels. The image processing apparatus further comprises a line store memory coupled to the chrominance decimator module. The line store memory is configured to store the intermediate representation. The image processing apparatus further comprises a vertical scaler module coupled to the line store memory. The vertical scaler module is configured to generate a scaled version of the intermediate representation. The image processing apparatus further comprises a chrominance interpolator module coupled to the vertical scaler module. The chrominance interpolator module is configured to convert the scaled version of the intermediate representation having the second sampling rate to a scaled version of the line of pixels having the first sampling rate. The image processing apparatus further comprises a YCbCr to RGB color space converter module coupled to the chrominance interpolator module. The YCbCr to RGB color space converter module is configured to convert the scaled version of the line of pixels from the YCbCr color space to the RGB color space.

Description

Method and device for vertically scaling pixel data

Embodiments of the present invention generally relate to a method and apparatus for vertical scaling of pixel data.

Regarding the design of the pixel data vertical scaler, the number of input lines in the video output signal is generally changed to a different number of output lines. The vertical scaler can reduce or enlarge this scaling operation. In general, a line refers to the horizontal scan line of the video signal. Since the in-line pixel data is in the form of lines, the processing of the image vertical ratio can be complicated. Image vertical scaling typically requires comparison and calculation between many adjacent lines of pixel data. In addition, due to the characteristics of the intra-sampled pixel data in the rasterized format, the previous line and the existing line signal data must be saved until the next line of signal data comes in. Such line data is typically stored in a storage memory comprised of one or more random access memories (RAMs). The size of each RAM is determined by the number of lines stored and the length of the line. Since each line corresponds to a full width image, the storage space required for the vertical scaling operation becomes large, making the operation of the vertical scaling operation an expensive processing.

Therefore, we need a more economical method and equipment to provide vertical scaling of pixel data.

The purpose of various embodiments of the present invention is to reduce the amount of pixel data associated with vertical scaling of pixel data that needs to be stored in the online storage memory.

Various embodiments of the present invention are generally directed to an image processing apparatus including a set of red, green, and blue (RGB) color space to luminance color, blue color difference and red color difference (YCbCr) color space conversion module. For converting pixel group line data from RGB color space to YCbCr color space. The pixel group line has its first sampling rate. The image processing device further includes a chrominance decimator module coupled to the RGB to YCbCr color space conversion module. The color ratio module is configured to generate an intermediate representation of a line of a plurality of pixels, and the performance data has a second sampling rate that is lower than the first sampling rate. The amount of data representing the relay performance data is less than the amount of data representing the lines of the pixel group. The image processing device further includes a line storage memory coupled to the chromaticity ratio module. The configuration of the line storage memory is used to store line relay performance data. The image processing device further includes a vertical scaler module coupled to the line storage memory. The configuration of the vertical scaler module is used to generate a version of the relay performance data that has been vertically scaled.

In an embodiment, the image processing device further includes a chroma interpolation processing module coupled to the vertical scaling processing module. The configuration of the chroma interpolation processing module is to convert a scaled version of the relay performance data having the second sampling rate into a scaled version of the pixel group line having the first sampling rate.

In another embodiment, the image processing device further includes a YcbCr to RGB color space conversion processing module coupled to the chroma interpolation processing module. The configuration of the YcbCr to RGB color space conversion processing module converts the scaled version of the pixel group line from the YCbCr color space to the RGB color space.

In another embodiment, the RGB to YCbCr color space conversion processing module is configured by adding 1/4 of the pixel data red (R) element to 1/2 of the pixel data green (G) element and the pixel data blue ( B) The 1/4 of the element determines the brightness color element (Y) of a pixel data. The RGB to YCbCr color space conversion processing module further determines the blue difference element of the pixel data by subtracting the pixel material brightness color element (Y) in the blue (B) element and dividing the result by 2 (Cb). The RGB to YCbCr color space conversion processing module further determines the red difference element of the pixel data by subtracting the pixel material brightness color element (Y) in the red (R) element and dividing the result by 2. ).

In another embodiment, the YCbCr to RGB color space conversion processing module determines a pixel by adding a luminance color element (Y) of the pixel data to increase the pixel data red difference element (Cr) by a factor of two. The red (R) element of the data. The RGB to YCbCr color space conversion processing module further determines the green (G) element of the pixel data by subtracting the red difference element (Cr) and the blue difference element (Cb) in the pixel material brightness color element (Y). . The RGB to YCbCr color space conversion processing module further determines the blue color of a pixel data by adding a luminance color element (Y) of the pixel data to increase the pixel data blue difference element (Cb) by a factor of two. )element.

1 is a simplified block diagram of a computer system 100 in accordance with an embodiment of the present invention. Computer system 100 includes a central processing unit (CPU) 102 and a system (primary) memory 104 that is coupled by system bus 106. Inputs made by the user are received by one or more user input devices 108 (e.g., a keyboard, mouse) and the input device is coupled to system bus 86. The video output is provided by a pixel-based display device 110 (eg, a conventional vacuum image tube display, a television or LCD liquid crystal display, a liquid crystal projector, etc.), and the display device is coupled to a graphics processing unit coupled to the bus bar 106. Under the control of (GPU) 112. Other components such as one or more storage devices 128 (e.g., a fixed-mount or removable disk drive, CD player, and/or DVD player) may also be coupled to system bus 86. In one embodiment, computer system 100 operates in a red, green, and blue (RGB) color space. Although various embodiments of the invention described herein are exemplified by computer system 100 operating in an RGB color space, the present invention also contemplates embodiments in which computer system 100 operates in other color spaces, such as YCbCr.

The system memory 104 can store various programs and applications, such as operating system programs that generate pixel data for processing by the GPU 112. The drawing device interface (GDI) component of the Microsoft Windows operating system (Microsoft Windows) is an example of the operating system program 130. System memory 104 can also store a graphics driver that can be associated with GPU 112. Graphics drivers such as Open GL and Microsoft DirectX can implement one or more standard application programming interfaces (APIs) that provide GPU 112 contact. By supporting appropriate API function calls, the operating system program can instruct the graphics driver to transfer pixel data to the GPU 112 via the system bus 106 and support various graphics operations of the GPU 112. Such pixel data is typically stored and represented in a binary format. The data transfer operation can use conventional direct memory access (DMA) or other modes of operation. In one embodiment, system memory 104 can store pixel data in an RGB color space.

The computer system 100 further includes a local memory or local frame buffer 114 associated with the GPU 112. The pixel data stored in the picture buffering area 114 provides scanning and control data for reading and transmitting data to the display device 110 for displaying images. In an embodiment, the picture buffering area 114 can store pixel data in the RGB color space. Although the illustrated picture buffering area 114 is distinct from and separate from the system memory 104, in some embodiments (eg, a unified memory architecture (UMA)), the picture buffering area 114 and system memory The bodies can share the same physical memory device.

GPU 112 includes various units for accepting and processing graphics system commands received via bus 106. The GPU 112 includes a memory management unit 120 and a display pipeline 130. The memory management unit 120 can read the pixel data from the image buffer area 114 or the memory 104, and sequentially insert the pixel data and transmit the pixel data to the display pipeline 130 for processing.

Display pipe 130 is typically used for image processing. The display pipeline 130 can include a plurality of processing modules, and the configuration of the modules is used to convert the pixel data into a display device for displaying pixel data as an image. In an embodiment in which computer system 100 operates in an RGB color space, display pipeline 130 can include a module 142 that performs arithmetic processing in the RGB color space. For example, processing modules operating in the RGB color space include brightness control, contrast control, and gamma correction.

In one embodiment, display pipeline 130 further includes a set of RGB to YCbCr color space conversion modules 144 that are configured to convert pixels from the RGB color space to the YCbCr color space. The operation of the RGB to YCbCr color space conversion processing module 144 will be explained in detail below with reference to FIGS. 2 and 3.

Once the pixel data is converted into the YCbCr color space, the pixel data can be processed in the YCbCr color space. Therefore, the display pipeline 130 may further include a chrominance decimator 145, a vertical scaler 146, and a chrominance interpolator 147. The chroma sampler 145 is configured to reduce the sampling rate of the blue difference element (Cb) and the red difference element (Cr) of the pixel data. The chroma sampler 145 is also referred to as a chrominance down sampler. In addition, chroma sampler 145 can also include components that are well known to those of ordinary skill in the art. For example, chroma sampler 145 can include a low pass filter configured to reduce the blue difference element (Cb) bandwidth of the pixel data and the red difference element (Cr) bandwidth. The vertical scaler 146 is configured to perform vertical scaling operations on pixel data stored in the line memory 170. Vertical scaler 146 can be any type of vertical scaler that is well known to those of ordinary skill in the art. The chroma interpolator 147 is configured to increase the (Cr) sampling rate of the pixel data blue difference element (Cb) and the red difference element. The chroma interpolator 147 may also be referred to as a chrominance up sampler. The chroma interpolator 147 may also include components that are well known to those of ordinary skill in the art. For example, chroma interpolator 147 can include a finite impulse response filter (FIR filter). The chroma sampler 145, the vertical scaling operation processor 146, and the chroma interpolator 147 will be explained in detail below with reference to FIG.

The display pipeline 130 can further include a line storage memory 170 for contacting the vertical scaling operation processor 146. The line storage memory 170 can store pixel data processed by the vertical scaling operation processor 146 for vertical scaling operation. Line storage memory 170 can include one or more random access memories (RAMs). Although the illustrated line storage memory 170 is distinct from and separate from the system memory 104 and the picture buffering area 114, in some embodiments, the line storage memory 170, the system memory 104, and the picture buffering area 114 are All share the same physical memory device.

According to an embodiment of the invention, the display pipeline 130 further includes a YCbCr to RGB color space conversion module 148 configured to convert the YCbCr color space to the RGB space. In this method, once the pixel data in the YCbCr space is processed, the pixel data is converted back to the RGB space. In one embodiment, once the pixel data is processed by the vertical scaling operation, the YCbCr to RGB color space conversion module 148 converts the pixel data to the RGB space. A detailed description of the arithmetic operation of the YCbCr to RGB color space conversion module 148 will be explained in detail below with reference to FIGS. 5 and 6.

Although the description of display pipeline 130 has been made to include RGB to YCbCr color space conversion module 144 followed by YCbCr to RGB color space conversion module 148, various embodiments of the present invention also encompass embodiments that The display pipeline 130 has a set of YCbCr to RGB color space conversion modules 148 and a set of RGB to YCbCr color space conversion modules 144 connected thereto in a computer system for performing arithmetic operations in the YCbCr color space. Other various embodiments of the present invention also encompass embodiments in which the display pipeline 130 is provided with any number of RGB to YCbCr color space conversion modules 144 and any number of YCbCr to RGB color space conversion modules 148.

In the embodiment in which the pixel data is displayed on the television screen, the display pipeline 130 further includes a set of industry standard RGB to YCbCr color space conversion modules 150 for converting the pixel data into the YCbCr color space. The industry standard RGB to YCbCr color space conversion module 150 can operate in conjunction with a digital to analog converter (DAC) 162 to display pixel data on a television screen.

In an embodiment in which the pixel data is displayed on a vacuum image tube (CRT) display, the display pipeline 130 further includes a set of digital to analog converter (DAC) 161 conversion modules for displaying the pixel data before displaying the CRT display. Pixel data is converted from a digital format to an analog format.

It will be apparent to those skilled in the art that computer system 100 is merely illustrative, and that the present invention encompasses various modifications and variations. For example, the computer system 100 can be a desktop computer, a server, a notebook computer, a palm-sized portable computer, a tablet computer, a video game console, a set-top box, a personal digital handheld device (PDA), and a contact network. Tethered Internet appliance, handheld portable game console system, mobile phone, simulator under computer architecture, or other devices similar to the above. Display device 110 can be any pixel-based display such as a CRT or LCD display, a projector, and a printer. In some embodiments, multiple display devices (eg, projector arrays or CRT arrays, etc.) may also support the application of the present invention to separately display image data for portions of the image. Display pipe 130 and central processing unit CPU 112 can be separated on different wafers. The CPU 112, or any of its components, can be implemented using one or more programmable processors in conjunction with appropriate software, special application integrated circuits (ASICs), other integrated circuits, or any combination of the foregoing. With reference to the technical scope of the present invention, those skilled in the art will appreciate that the present invention can be implemented in a wide variety of system configurations.

2 is a flow chart of a method 200 of converting pixel data from RGB space to YCbCr space, in accordance with an embodiment of the present invention. In step 210, the luma color element (Y) of the pixel data is determined by the following equation: Y=R/4+G/2+B/4 (1) where R is the red element of the pixel data, G is the green element of the pixel data, B The blue element for the pixel data. The red element color space coefficient of the pixel data is 1/4, which is 0.25, which is an approximation of the red element color space coefficient of 0.299 in the industry standard color space conversion process. The green element color space coefficient of the pixel data is 1/2, which is 0.5, which is also an approximation of the green element color space coefficient of 0.587 in the industry standard color space conversion process. The blue element color space coefficient of the pixel data is 1/4, which is 0.25. This coefficient is also an approximation of the blue element color space coefficient 0.114 in the industry standard color space conversion process. Therefore, the color space coefficient used to calculate the luma color element (Y) is selected in equation (1) as a binary format. Since the color space coefficient is a binary format, the calculation of the luma element (Y) can use binary arithmetic operations without the need for multiplication. In this method, the luma color element (Y) of the pixel data can be determined in a relatively economical manner.

According to an embodiment of the present invention, the logic map 310 shown in FIG. 3A can be used to determine the luma color element (Y) of the pixel data. In this regard, the luma color element (Y) of the pixel data can be determined in the following manner: the green element is shifted to the left by one bit (ie, equivalent to multiplied by 2), and the operation result is added to the red element and the blue element. And then move the entire total to the right by 2 bits (i.e. equivalent to dividing it by 4). In one embodiment, a numerical rounding operation may be performed prior to moving the entire sum to the right by 2 bits, thus further improving the logic diagram 310. The value rounding operation can be performed using conventional techniques; for example, before moving the sum to the right, the number of moving bits added by 2 is reduced by 1 (i.e., 2 (s- 1), where s is the number of moving bits). The operations of moving to the left and moving to the right can be chosen in accordance with cost and computing resources. Therefore, by using the left and right movement operation methods as illustrated by the logic diagram 310, the luma color element (Y) of the pixel data can be determined by a relatively economical operation processing method.

In step 220, the blue difference element (Cb) of the pixel data is determined by: Cb=(B-Y)/2 (2) where B is the blue difference element of the pixel data, and Y is the pixel determined in step 210. The lightness color element of the data. As with the color coefficient used in equation (1), the color coefficient used to determine the blue difference (Cb) in equation (2) is the blue difference element (Cb) color space processed by the industry standard color space conversion. The approximate value of the coefficient. In this method, the binary data format can be used to determine the blue difference (Cb) color coefficient of equation (2). Since the color space coefficient is a binary format, a binary arithmetic operation can be used to calculate the blue difference element (Cb) without the multiplication operation. In this method, the blue difference element (Cb) of the pixel data can be determined by a relatively economical processing method.

According to an embodiment of the present invention, the blue difference element (Cb) of the pixel data can be determined in accordance with the logic diagram 320 as shown in FIG. 3B. In this regard, the blue difference element (Cb) of the pixel data can be determined by subtracting the light color element (Y) of the pixel data determined in step 210 from the blue difference element (Cb), and then summing the total Move one bit to the right (ie equal to divide by 2). In an embodiment, a value rounding operation may be performed before moving the entire sum to the right by one bit. As described above, since the embodiment of moving to the right can be freely selected, when the operation operation is moved to the right as shown in the logic diagram 320, the blue difference element (Cb) of the pixel data can be determined by a relatively economical operation processing method. .

In step 230, the red difference element (Cr) of the pixel data is determined by: Cr = (R - Y) / 2 (3) where R is the red difference element of the pixel data, and Y is the pixel determined in step 210. The lightness color element of the data. In steps 210 and 220, equation (3) determines the color coefficient used by the red difference element (Cr), and also the approximate value of the red difference element (Cr) color space coefficient in the industry standard color space conversion process. Therefore, the color coefficient used can also use the binary data format. Since the color space coefficient is a binary format, the calculation of the red difference element (Cr) can use binary arithmetic operations and eliminates the use of multiplication operations. Using this method, a relatively economical processing method can be used to determine the red difference element (Cb) of the pixel data.

According to an embodiment of the present invention, the red difference element (Cr) of the pixel data can be determined according to the logic diagram 330 shown in FIG. 3C. As shown in Fig. 3C, the red difference element (Cr) of the pixel data is determined in the following manner: the bright color element (Y) of the pixel data is subtracted from the red difference element (Cr), and the sum is shifted to the right by one bit. Yuan (that is equivalent to dividing it by 2). In an embodiment, a numerical rounding operation may be performed before the entire sum is shifted to the right by 2 bits. As described above, since the embodiment of moving to the right can be freely selected, when the operation operation is moved to the right as shown by the logic diagram 330, the red difference element (Cr) of the pixel data can be determined by a more economical operation processing method. .

FIG. 4 is a flow chart showing a vertical scaling operation processing method 400 according to an embodiment of the present invention. In step 410, the chroma sampler 145 may halve the sampling rate of the blue difference element (Cb) and the red difference element (Cr). In one embodiment, the chroma sampler 145 can reduce the sampling rate from a sampling rate of 4:4:4 to a sampling rate of 4:2:2. When using this method, one third of the memory can be reduced in the need to store pixel data, thereby reducing the size requirement of the line memory 170. Although the above is exemplified by a halving of the sampling rate, other various embodiments of the present invention also cover any reduction in sampling rate.

Once the sampling rate of the blue difference element (Cb) and the red difference element (Cr) of the pixel data has been halved, the pixel data is stored in the line memory 170 (step 420). In step 430, the vertical scaling operation processor 146 performs vertical scaling processing on the pixel data stored in the line memory 170. Pixel data can be processed herein using any of the vertical zoom transport techniques known to those skilled in the art. For example, a finite impulse response interpolator (Finite Impulse Response, FIR) can be used to generate a new output video line by interpolating between previously stored video lines. In addition, by changing the interpolation position relative to the input line, a new video image can be formed, which has a different number of lines than the original input image.

After the pixel data is processed by the vertical scaling operation, the chroma interpolator 147 multiplies the sampling rate of the blue difference element (Cb) pixel data and the red difference element (Cr) pixel data. In one embodiment, the chroma interpolator 147 increases the sampling rate from a sampling rate of 4:2:2 to a sampling rate of 4:4:4. In this method, the chroma interpolator 147 can store the raw sampling rate of the blue difference element (Cb) pixel data and the red difference element (Cr) pixel data. In one embodiment, method 400 can be controlled using a program that accepts a call to provide assistance when the amount of line memory 170 divided by the number of lines in vertical scaling operation processor 146 is less than the line length.

When the pixel data is vertically scaled according to the method 400, the pixel data is converted from the YCbCr space to the RGB space. To this end, FIG. 5 is a flow chart showing a method 500 of converting pixel data from YCbCr space to RGB space in accordance with an embodiment of the present invention. In step 510, the pixel material red element (R) is determined by the following equation: R = Y + 2Cr (4) where Y is the lunar color element of the pixel data and Cr is the red difference element (Cr) of the pixel data. As shown in Fig. 2, the color space coefficient used in equation (4) to determine the red element (R) is also an industry standard color coefficient, so these color coefficients can also use the binary format. Since the color space coefficient is a binary format, the calculation of the red element (R) can use binary arithmetic operations without the multiplication operation. Using this method, the red element (R) of the pixel data can be determined in a more economical manner.

In accordance with an embodiment of the present invention, the red element (R) of the pixel data can be determined in accordance with the manner depicted by logic diagram 610 of FIG. 6A. Referring now to Figure 6A, the red element (R) of the pixel data can be determined by moving the red difference element (Cr) of the pixel data to the left by one bit (i.e. equivalent to multiplying it by 2), and then the result Add the luma element (Y) of the pixel data. As described above, since the embodiment of moving to the left can be freely selected, when the operation operation is shifted to the left as shown by the logic diagram 610, the red element (R) of the pixel data can be determined by a more economical arithmetic processing method.

In step 520, the green element (G) of the pixel data is determined by: G=Y-Cb-Cr (5) where Y is the luma color element of the pixel data, Cb is the blue difference element of the pixel data, and Cr is The red difference element of the pixel data. In step 510, equation (5) determines the color space coefficient used by the green element (G), which is also an approximation of the industry standard color coefficient, so the color coefficient used can also use the binary data format. Since the color space coefficient is a binary format, the calculation of the green element (G) can use binary arithmetic operations without the multiplication operation. Using this method, the green element (G) of the pixel data can be determined in a more economical way.

In accordance with an embodiment of the present invention, the green element (G) of the pixel data can be determined in the manner depicted by logic diagram 620 of FIG. 6B. Referring now to Figure 6B, the green element (G) of the pixel data can be determined by subtracting the blue difference element (Cb) of the pixel data from the luma element (Y) of the pixel data, and then subtracting the pixel from the result. The red difference element (Cr) of the data.

In step 530, the blue element (B) of the pixel data is determined by: B = Y + 2Cb (6) where Y is the luma color element of the pixel data, and Cb is the blue difference element of the pixel data. In steps 510 and 520, the color space coefficient used by equation (6) to determine the blue element (B) also uses a binary data format. Therefore, the calculation of the blue element (B) can use binary arithmetic operations to eliminate the multiplication operation. This allows a more economical way to determine the blue element (B) of the pixel data.

In accordance with an embodiment of the present invention, the pixel material blue element (B) may be determined in accordance with the manner depicted in logic diagram 630 of Figure 6C. Referring now to Figure 6C, the blue element (B) of the pixel data can be determined in the following manner: the pixel data blue difference element (Cb) is shifted to the left by one bit (i.e. equivalent to multiplying it by 2), and then The result is the addition of the luma element (Y) of the pixel data. As described above, since the embodiment of moving to the left can be freely selected, when the operation operation is moved to the left as shown in the logic diagram 630, the blue element of the pixel data can be determined by the more economical processing method (B). .

While the above description is directed to the various embodiments of the present invention, other embodiments may be devised within the scope of the invention, and the scope of the invention should be defined by the following claims.

100. . . computer system

102. . . Central processing unit

104. . . System (main) memory

106. . . Busbar

108. . . User input device

110. . . Display device

112. . . Graphics processing unit

114. . . Picture buffer area

120. . . Memory management unit

128. . . Storage device

130. . . Operating system program / display pipeline

142. . . Module

144. . . Color space conversion module

145. . . Chroma sampler

146. . . Vertical scaler

147. . . Chroma interpolator

148. . . Color space conversion module

150. . . Color space conversion module

161. . . Digital to analog converter

162. . . Digital to analog converter

170. . . Line memory

The technical features of the present invention have been briefly described above. For a more specific description of the present invention, reference may be made to the embodiments, and some of the embodiments are illustrated in the drawings, and the technical features of the invention described above are fully understood. However, it is to be understood that the invention is not limited to the scope of the invention.

1 is a simplified block diagram of a computer system in accordance with an embodiment of the present invention.

2 is a flow chart showing a method of converting pixel data from RGB space to YCbCr space according to an embodiment of the invention.

3A is a logic diagram showing a brightness color element (Y) that determines pixel data in accordance with an embodiment of the present invention.

FIG. 3B illustrates a logic diagram of a blue difference element (Cb) that determines pixel data in accordance with an embodiment of the present invention.

FIG. 3C is a logic diagram illustrating a red difference element (Cr) that determines pixel data in accordance with an embodiment of the present invention.

FIG. 4 is a flow chart showing a method for processing vertical scaling of pixel data according to an embodiment of the invention.

FIG. 5 is a flow chart showing a method of converting pixel data from a YCbCr space to an RGB space according to an embodiment of the present invention.

Figure 6A is a logic diagram depicting a red element (R) that determines pixel data in accordance with an embodiment of the present invention.

FIG. 6B illustrates a logic diagram of a green element (G) that determines pixel data in accordance with an embodiment of the present invention.

FIG. 6C is a logic diagram illustrating a blue element (B) that determines pixel data in accordance with an embodiment of the present invention.

200. . . method

210. . . step

220. . . step

230. . . step

Claims (21)

An image processing device comprising: a red, green and blue (RGB) color space to lightness color, blue difference and red difference (YCbCr) color space converter module, which is used for converting a pixel group line from RGB color space to YCbCr a color space, wherein the pixel group line has a first sampling rate; a chroma sampler module coupled to the RGB to YCbCr color space converter module, wherein the color sampler module is configured Generating performance data by one of the pixels of the pixel group, and the performance data has a second sampling rate lower than the first sampling rate, wherein the pixel representation of the pixel group has less than the line performance data a line storage memory coupled to the chroma sampler module, wherein the line storage memory is configured to generate the relay performance data; and a vertical scaling operation processing module coupled to the The line storage memory, wherein the vertical scaling operation processing module is configured to generate a vertically scaled version of the relay performance data; and further comprises a chroma interpolator module coupled to the vertical scaler module a group, wherein the chroma interpolator module is configured to convert a scaled version of the relay performance data of the pixel group line having the second sampling rate to a scaled version of the pixel group line having the first sampling rate And a YCbCr to RGB color space converter module coupled to the chroma interpolator module, wherein the YCbCr to RGB color space conversion The module is configured to convert the scaled version of the pixel group line from the YCbCr color space to the RGB color space. The image processing device of claim 1, wherein the second sampling rate is one and a half of the first sampling rate. The image processing device of claim 1, wherein the first sampling rate is 4:4:4, and the second sampling rate is 4:2:2. The image processing device of claim 1, wherein the RGB to YCbCr color space conversion module converts the pixel group line by using a binary arithmetic operation. The image processing device of claim 1, wherein the RGB to YCbCr color space conversion module is configured by adding 1/4 of a red (R) element of the pixel group line to the green of the pixel group line. The 1/2 of the (G) element plus 1/4 of the blue (B) element of the pixel group line determines the lightness color element (Y) of the line of the pixel group. The image processing device of claim 1, wherein the RGB to YCbCr color space conversion module subtracts the brightness color element (Y) of the pixel group line by subtracting the blue (B) element and The result is divided by 2 to determine the blue difference element (Cb) of the line of the pixel group. The image processing device of claim 1, wherein the RGB to YCbCr color space conversion module subtracts the brightness color element (Y) of the pixel group line by subtracting the red (R) element, and the result is obtained. The red difference element (Cr) of the line of the pixel group is determined by dividing by 2. The image processing device of claim 1, wherein the YCbCr to RGB color space conversion module doubles the red color difference element (Cr) of the pixel group line by adding the brightness color element (Y) ) to determine the red element (R) of the line of the pixel group. The image processing device of claim 1, wherein the YCbCr to RGB color space converter module is further reduced by subtracting a red color difference element (Cr) from a brightness color element (Y) of the pixel group line. The blue difference element (Cb) is determined to determine the green (G) element of the line of the pixel group. The image processing device of claim 1, wherein the YCbCr to RGB color space conversion module doubles the blue of the pixel group line by adding the brightness color element (Y) of the pixel group line The color difference element (Cb) determines the blue element (B) of the line of the pixel group. A method for vertically scaling a pixel group line, comprising: a step of receiving a line of pixel groups, the receiving being in red, blue and green a pixel group line in a (RGB) color space, wherein the pixel group line includes a first sampling rate; and a step of converting the color space from the RGB color space to a brightness, blue difference, and red a difference (YCbCr) color space; a step of generating a relay performance data, which generates a relay performance data of the pixel group line, wherein the relay performance data has a second sampling rate lower than the first sampling rate; a step of generating a scaled version that produces a scaled version of the relay performance data; and a step of converting the scaled version that converts the scaled version of the relay performance data having the second sample rate to the first sample A scaled version of the pixel group line; further comprising converting the scaled version of the pixel group line from the YCbCr color space to the RGB color space. The method of claim 11, further comprising storing the relay performance data in a line storage memory before generating the scaled version of the relay performance data. The method of claim 11, wherein the second sampling rate is one-half of the first sampling rate. The method of claim 11, wherein the first sampling rate is 4:4:4 and the second sampling rate is 4:2:2. The method of claim 11, wherein the step of converting the pixel group line from the RGB color space to the YCbCr color space comprises converting the pixel group line using a binary arithmetic operation. The method of claim 11, wherein the step of converting the pixel group line from the RGB color space to the YCbCr color space comprises adding 1/4 of a red (R) element of the pixel group line The 1/2 of the green (G) element of the line of pixels of the pixel group plus 1/4 of the blue (B) element of the line of the pixel group produces a brightness color element (Y) of the line of the pixel group. The method of claim 11, wherein the step of converting the pixel group line from the RGB color space to the YCbCr color space comprises subtracting the brightness of the pixel group line by subtracting the blue (B) element The color element (Y), and the result is divided by 2 to produce the blue difference element (Cb) of the line of the pixel group. The method of claim 11, wherein the step of converting the pixel group line from the RGB color space to the YCbCr color space comprises subtracting the pixel from a red (R) element of the pixel group line The bright color element (Y) of the group line, and the result is divided by 2 to generate the red difference element (Cr) of the line of the pixel group. The method of claim 11, wherein the step of converting the scaled version of the pixel group line from the YCbCr color space to the RGB color space comprises adding a brightness color element (Y) of the pixel group line The red element (R) of the line of the pixel group is generated by twice the red difference element (Cr) of the line of the pixel group. The method of claim 11, wherein the step of converting the scaled version of the pixel group line from the YCbCr color space to the RGB color space comprises by using the pixel group of the brightness color element (Y) The red difference element (Cr) is subtracted and the blue difference element (Cb) of the pixel group line is subtracted to generate a green (G) element of the pixel group line. The method of claim 11, wherein the step of converting the scaled version of the pixel group line from the YCbCr color space to the RGB color space comprises adding a brightness color element (Y) of the pixel group line The blue difference element (Cb) of the pixel group line is doubled to generate the blue element (B) of the line of the pixel group.