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US20160086573A1 - Real-time color mapping system and method - Google Patents

Real-time color mapping system and method Download PDF

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Publication number
US20160086573A1
US20160086573A1 US14/706,158 US201514706158A US2016086573A1 US 20160086573 A1 US20160086573 A1 US 20160086573A1 US 201514706158 A US201514706158 A US 201514706158A US 2016086573 A1 US2016086573 A1 US 2016086573A1
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United States
Prior art keywords
grayscale values
image
bits
image grayscale
real
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Abandoned
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US14/706,158
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English (en)
Inventor
Keh-Su Chang
Mang Ou-Yang
Ting-Wei Huang
Jyun-Wei Jhuang
Yu-Ta Chen
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National Central University
Delta Electronics Inc
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National Central University
Delta Electronics Inc
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Assigned to NATIONAL CENTRAL UNIVERSITY, DELTA ELECTRONICS, INC. reassignment NATIONAL CENTRAL UNIVERSITY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: CHEN, YU-TA, HUANG, TING-WEI, JHUANG, JYUN-WEI, OU-YANG, MANG, CHANG, KEH-SU
Assigned to DELTA ELECTRONICS, INC., NATIONAL CENTRAL UNIVERSITY reassignment DELTA ELECTRONICS, INC. CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNOR EXECUTION DATE, PREVIOUSLY RECORDED AT REEL: 035584 FRAME: 0852. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Assignors: CHANG, KEH-SU, CHEN, YU-TA, HUANG, TING-WEI, JHUANG, JYUN-WEI, OU-YANG, MANG
Publication of US20160086573A1 publication Critical patent/US20160086573A1/en
Priority to US15/722,166 priority Critical patent/US10319340B2/en
Abandoned legal-status Critical Current

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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/02—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators characterised by the way in which colour is displayed
    • G09G5/06—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators characterised by the way in which colour is displayed using colour palettes, e.g. look-up tables
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/04—Texture mapping
    • G06T7/408—
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/02—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators characterised by the way in which colour is displayed
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals
    • H04N1/60—Colour correction or control
    • H04N1/62—Retouching, i.e. modification of isolated colours only or in isolated picture areas only
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/64—Systems for the transmission or the storage of the colour picture signal; Details therefor, e.g. coding or decoding means therefor
    • H04N1/644—Systems for the transmission or the storage of the colour picture signal; Details therefor, e.g. coding or decoding means therefor using a reduced set of representative colours, e.g. each representing a particular range in a colour space
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals
    • H04N9/67—Circuits for processing colour signals for matrixing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals
    • H04N9/68—Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits
    • H04N9/69—Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits for modifying the colour signals by gamma correction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/06—Adjustment of display parameters
    • G09G2320/0673—Adjustment of display parameters for control of gamma adjustment, e.g. selecting another gamma curve
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2340/00—Aspects of display data processing
    • G09G2340/06—Colour space transformation

Definitions

  • the present disclosure relates to a real-time color mapping system. More particularly, the present disclosure relates to a real-time color mapping system and a real-time color mapping method for performing color mappings by looking up in a mapping table.
  • Display devices With the development of information technology, the applications of display devices are more and more popular. The prices of display devices are getting lower, and the performance of display devices is getting better.
  • Common display devices include LCD displays, LED displays, plasma displays and projectors.
  • the display devices When the abovementioned display devices are utilized to display an input image signal (the input image signal can be generated by an electronic system such as a media player, a computer system or a handheld electronic device), the display devices usually need to perform real-time color mappings on the input image signal, so as to display the contents corresponding to the input image signal with more precise or optimized colors.
  • a conventional real-time color mapping method includes performing color mappings by using gamma curve adjustments.
  • the color mappings based on the gamma curve adjustments are not precise enough.
  • the present disclosure is related to a real-time color mapping system.
  • the real-time color mapping system includes a memory and a converting module.
  • the memory is configured for storing a mapping table.
  • the converting module is configured for reading the mapping table stored in the memory, and for converting a plurality of first image grayscale values corresponding to a first image signal into a plurality of second image grayscale values corresponding to a second image signal according to the mapping table.
  • the converting module utilizes at least part of bits corresponding to each of the first image grayscale values as a memory address to look up in the mapping table, thereby converting the first image grayscale values into the second image grayscale values
  • the present disclosure is related to a real-time color mapping method.
  • the real-time color mapping method includes: reading a mapping table stored in a memory; and utilizing at least part of bits corresponding to each of a plurality of first image grayscale values corresponding to a first image signal as a memory address to look up in the mapping table, thereby converting the first image grayscale values into a plurality of second image grayscale values corresponding to a second image signal.
  • the color mapping disclosed in the present disclosure is more precise and provides more freedom on adjustments.
  • the present disclosure also discloses utilizing only a part of bits corresponding to image grayscale values as the memory address to look up in the mapping table. Consequently, the memory space in the memory required to save the mapping table can be greatly reduced. Also, the continuity of the grayscale values can be effectively kept in the converted image signals.
  • a near 24 bits color mapping can be performed by utilizing a mapping table occupying only 42 M bits of memory space. Therefore, the memory required for color mappings can be reduced, and the speed of color mappings can be improved without affecting the effects of color displaying.
  • the present disclosure also discloses determining whether the table look-up operation on a first image grayscale value is performed by checking whether the first image grayscale value to be converted is within an image grayscale value range. Consequently, the memory space in the memory required to save the mapping table can again be effectively reduced. Moreover, by setting the abovementioned image grayscale value range, color mappings for some specific color ranges can be realized.
  • FIG. 1 is a schematic diagram of a real-time color mapping system in accordance with one embodiment of the present disclosure
  • FIG. 2 is a schematic diagram illustrating conversion between one of first image grayscale values and a corresponding one of second image grayscale values
  • FIG. 3 is a schematic diagram illustrating conversion between one of the first image grayscale values and a corresponding one of the second image grayscale values
  • FIG. 4 is a flow chart of a real-time color mapping method in accordance with one embodiment of the present disclosure.
  • FIG. 5 is a flow chart of a real-time color mapping method in accordance with one embodiment of the present disclosure.
  • Coupled and “connected”, along with their derivatives, may be used.
  • “connected” and “coupled” may be used to indicate that two or more elements are in direct physical or electrical contact with each other, or may also mean that two or more elements may be in indirect contact with each other. “Coupled” and “connected” may still be used to indicate that two or more elements cooperate or interact with each other.
  • first, second, third etc. may be used herein to describe various elements, components, regions, layers and/or sections, these elements, components, regions, layers and/or sections should not be limited by these terms. These terms are only used to distinguish one element, component, region, layer or section from another element, component, region, layer or section. Thus, a first element, component, region, layer or section discussed below could be termed a second element, component, region, layer or section without departing from the teachings of the present invention.
  • FIG. 1 is a schematic diagram of a real-time color mapping system 100 in accordance with one embodiment of the present disclosure.
  • the real-time color mapping system 100 can be implemented on a display device (e.g., a projector, a TV, a screen or a wide color gamut display), and perform color mappings on a first image signal 203 to generate a second image signal 223 , but is not limited thereto.
  • a display device e.g., a projector, a TV, a screen or a wide color gamut display
  • the first image signal 203 can be generated by a media player (e.g., a DVD player, a VCD player or a blue-ray disc player), a computer system (e.g., a desktop computer or a laptop computer) or a handheld electronic device (e.g., a smart phone or a tablet computer).
  • the first image signal 203 can also be generated by an optic measuring device (e.g., a colorimeter, a luminometer or a brightness meter).
  • the first image signal 203 can be a high definition multimedia interface (HDMI) signal, but is not limited thereto.
  • HDMI high definition multimedia interface
  • the real-time color mapping system 100 includes a memory 110 and a converting module 120 .
  • the memory 110 can be a static random access memory (SRAM), but is not limited thereto.
  • the converting module 120 can be an electric chip, but is not limited thereto.
  • the real-time color mapping system 100 includes a memory unit and one or more processors. The converting module 120 is stored in the memory unit and is executed by the one or more processors.
  • the real-time color mapping system 100 optionally includes a first storage unit 210 and a second storage unit 220 , in which the first storage unit 210 and the second storage unit 220 are electrically connected with the converting module 120 .
  • the first storage unit 210 and the second storage unit 220 can be a double data rate synchronous dynamic random access memory (DDR RAM), but is not limited thereto.
  • DDR RAM double data rate synchronous dynamic random access memory
  • the memory 110 is configured for storing a mapping table (not shown).
  • the converting module 120 is configured for reading the mapping table stored in the memory 110 , and for converting first image grayscale values V corresponding to the first image signal 203 into second image grayscale values Vc corresponding to a second image signal 223 according to the mapping table.
  • the converting module 120 utilizes at least part of bits V′ corresponding to each of the first image grayscale values V as a memory address to look up in the mapping table.
  • the first image grayscale values V are converted into the second image grayscale values Vc according to a look-up result Vc′.
  • the first storage unit 210 is configured for storing first image data (not shown) of the first image signal 203 .
  • the first image data include the first image grayscale values V.
  • the second storage unit 220 is configured for storing second image data (not shown) of the second image signal 223 .
  • the second image data include the second image grayscale values Vc.
  • the converting module 120 enables the color mapping between the first image data and the second image data to be performed by converting the first image grayscale values V into the second image grayscale values Vc.
  • the converting module 120 utilizes all of the bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table, such that the first image grayscale values V are converted into the second image grayscale values Vc.
  • V′ are all of the bits corresponding to the first image grayscale values V
  • Vc′ are all of the bits corresponding to the second image grayscale values Vc.
  • the converting module 120 utilizes each of the first image grayscale values V as a memory address to look up in the mapping table in the memory 110 , respectively, and obtains a corresponding look-up result. Then, the converting module 120 sets the corresponding look-up result to be the corresponding second image grayscale values Vc.
  • each of the first image grayscale values V is a 24-bits long binary value.
  • the converting module 120 utilizes each of the 24-bits long binary values as a memory address to look up in the mapping table, and obtains look-up results with 24-bits binary values, respectively.
  • the converting module 120 sets the corresponding look-up results as the corresponding second image grayscale values Vc, respectively.
  • each of the first image grayscale values V includes n first pixel grayscale values with different colors.
  • Each of the n first pixel grayscale values is represented by m bits.
  • the converting module 120 utilizes n ⁇ (m ⁇ i) bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table, in which n>1 and m>i ⁇ 1.
  • FIG. 2 is a schematic diagram illustrating that the converting module 120 converts one of the first image grayscale values V to a corresponding one of the second image grayscale values Vc.
  • FIG. 2 is illustrated based on the embodiment shown in FIG. 1 , but is not limited thereto.
  • n is 3.
  • n is not limited to 3.
  • the value of n can be adjusted by persons skilled in the art according to practical needs.
  • each of the first image grayscale values V includes first pixel grayscale values with three different colors (e.g., red, green and blue).
  • Each of the first pixel grayscale values is represented by m bits.
  • the abovementioned three first pixel grayscale values are corresponding to R[1]-R[m], G[1]-G[m] and B[1]-B[m], respectively.
  • Each of the second image grayscale values Vc includes three corresponding second pixel grayscale values, and each of the three second pixel grayscale values is represented by m bits as well.
  • the three second pixel grayscale values are corresponding to Rc[1]-Rc[m], Gc[1]-Gc[m] and Bc[1]-Bc[m], respectively.
  • the red first pixel grayscale value is corresponding to 10010010.
  • the green first pixel grayscale value is 61
  • the green first pixel grayscale value is corresponding to 00111101.
  • a blue first pixel grayscale value is 171
  • the blue first pixel grayscale value is corresponding to 10101011.
  • the converting module 120 utilizes 3 ⁇ (m ⁇ i) bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table, and converts the 3 ⁇ (m ⁇ i) bits of each of the first image grayscale values V into a corresponding 3 ⁇ (m ⁇ i) bits of each of the second image grayscale values Vc.
  • the converting module 120 utilizes the highest (m ⁇ i) bits of each of the three first pixel grayscale values as the memory address to look up in the mapping table, and sets the look-up result Vc′ (with a length of 3 ⁇ (m ⁇ i) bits) to be the highest (m ⁇ i) bits of a corresponding one of the three second pixel grayscale values.
  • the converting module 120 utilizes the 3 ⁇ (m ⁇ i) bits V′ consisting of R[1]-R[m ⁇ i] of R[1]-R[m], G[1]-G[m ⁇ i] of G[1]-G[m] and B[1]-B[m ⁇ i] of B[1]-B[m] as the memory address to look up in the mapping table, and obtains the look-up result Vc′.
  • the converting module 120 sets Rc[1]-Rc[m ⁇ i], Gc[1]-Gc[m ⁇ i] and Bc[1]-Bc[m ⁇ i] of the look-up result Vc′ to be the highest (m ⁇ i) bits of a corresponding one of the three second pixel grayscale values, respectively.
  • the converting module 120 is further used for integrating the n ⁇ i un-converted bits and the corresponding n ⁇ (m ⁇ i) converted bits of each of the first image grayscale values V, so as to generate a corresponding second image grayscale values. As shown in FIG.
  • the converting module 120 integrates the 3 ⁇ i un-converted bits R[m ⁇ i+1]-R[m], G[m ⁇ i+1]-G[m] and B[m ⁇ i+1]-B[m], and the 3 ⁇ (m ⁇ i) converted bits Rc[1]-Rc[m ⁇ i], Gc[1]-Gc[m ⁇ i] and Bc[1]-Bc[m ⁇ i] of the first image grayscale value V to generate the corresponding second image grayscale value Vc.
  • the converting module 120 optionally includes a delay unit (not shown).
  • the delay unit is a circuit.
  • the delay unit is realized by a software module. The delay unit is configured for delaying the n ⁇ i un-converted bits of each of the first image grayscale values V for a period of time to compensate the time needed by the converting module 120 to look up the n ⁇ (m ⁇ i) bits corresponding to each of the first image grayscale values V in the mapping table stored in the memory 110 .
  • the converting module 120 can integrate the n ⁇ i un-converted bits and the corresponding n ⁇ (m ⁇ i) converted bits of each of the first image grayscale values V to generate a corresponding second image grayscale value Vc when the look-up operation is finished.
  • the lowest i bits of each of the three second pixel grayscale values are the same as the lowest i bits of each corresponding pixel grayscale value of the three first pixel grayscale values.
  • the lowest i bits Rc[m ⁇ i+1]-Rc[m] of the second pixel grayscale value Rc[1]-Rc[m] are the lowest i bits R[m ⁇ i+1]-R[m] of the first pixel grayscale value R[1]-R[m].
  • the lowest i bits Gc[m ⁇ i+1]-Gc[m] of the second pixel grayscale value Gc[1]-Gc[m] are the lowest i bits G[m ⁇ i+1]-G[m] of the first pixel grayscale value G[1]-G[m].
  • the lowest i bits Bc[m ⁇ i+1]-Bc[m] of the second pixel grayscale value Bc[1]-Bc[m] are the lowest i bits B[m ⁇ i+1]-B[m] of the first pixel grayscale value B[1]-B[m].
  • the converting module 120 sets Rc[1]-Rc[m ⁇ i], Gc[1]-Gc[m ⁇ i] and Bc[1]-Bc[m ⁇ i] of the look-up result Vc′ to be the highest (m ⁇ i) bits of a corresponding one of the three second pixel grayscale values, respectively, and the lowest i bits of each of the three first pixel grayscale values to be the lowest i bits of a corresponding one of the three second pixel grayscale values, respectively.
  • FIG. 3 is a schematic diagram illustrating that the converting module 120 converts one of the first image grayscale values V to a corresponding one of the second image grayscale values Vc.
  • FIG. 3 is illustrated based on the embodiment shown in FIG. 1 , but is not limited thereto.
  • n, m and i are not limited to the abovementioned values, and persons skilled in the art can adjust the abovementioned values according to practical needs.
  • each of the first image grayscale values V includes three first pixel grayscale values, i.e., R[1]-R[8], G[1]-G[8] and B[1]-B[8].
  • Each of the second image grayscale values Vc includes three corresponding second pixel grayscale values, i.e., Rc[1]-Rc[8], Gc[1]-Gc[8] and Bc[1]-Bc[8].
  • the converting module 120 utilizes the 21 bits V′ consisting of R[1]-R[7], G[1]-G[7] and B[1]-B[7] as the memory address to look up in the mapping table, and obtains the look-up result Vc′
  • the converting module 120 sets Rc[1]-Rc[7], Gc[1]-Gc[7] and Bc[1]-Bc[7] of the look-up result Vc′ to be the 1st-7th, 9th-15th and 17th-23rd bits of the corresponding second image grayscale value Vc, respectively. Moreover, the converting module 120 sets R[8], G[8] and B[9] to be the 8th, 16th and 24th bits of the corresponding second image grayscale value Vc (i.e, Rc[8], Gc[8] and Bc[8]), respectively.
  • the converting module 120 utilizes part of bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table. Consequently, the memory space in the memory 110 required to save the mapping table can be greatly reduced.
  • the converting module 120 when the converting module 120 utilizes all of the bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table, the memory space required in the memory 110 to save the mapping table is n ⁇ m ⁇ (2 ⁇ (n ⁇ m)) bits.
  • the converting module 120 utilizes n ⁇ (m ⁇ i) bits corresponding to each of the first image grayscale values V as the memory address V′ to look up in the mapping table, and generates the corresponding second image grayscale values Vc according to the look-up result Vc′, only n ⁇ (m ⁇ i) ⁇ (2 ⁇ (n ⁇ (m ⁇ i)) bits in the memory 110 are required to save the mapping table.
  • the grayscale values of neighboring color data are usually successive values. Therefore, by utilizing the n ⁇ (m ⁇ i) bits consisting of the highest (m ⁇ i) bits of each of the n first pixel grayscale values as the memory address to look up in the mapping table, and setting the lowest bit of each of the n second pixel grayscale values to be the same as the lowest bit of a corresponding one of the n first pixel grayscale values, the successive property can be effectively kept for the grayscale values in the converted image signal.
  • a near 24 bits color mapping operation is realized by utilizing a mapping table occupying 42 M bits of memory space.
  • the converting module 120 is further configured for determining whether a first image grayscale value to be converted is within an image grayscale value range, in which the first image grayscale value to be converted is one of the first image grayscale values. If the first image grayscale value to be converted is not within the image grayscale value range, the converting module 120 sets a corresponding second image grayscale value of the second image grayscale values Vc to be the same as the first image grayscale value to be converted.
  • the converting module 120 determines whether the first image grayscale value to be converted is within the image grayscale value range according to whether the n first pixel grayscale values of the first image grayscale value to be converted are within corresponding pixel grayscale value ranges.
  • each of the first image grayscale value V is a 24 bits value as shown in FIG. 3 .
  • the corresponding pixel grayscale value ranges are 0 ⁇ R ⁇ 127, 0 ⁇ G ⁇ 127 and 128 ⁇ B ⁇ 255.
  • the corresponding pixel grayscale value ranges are not limited to the abovementioned 0 ⁇ R ⁇ 127, 0 ⁇ G ⁇ 127 and 128 ⁇ B ⁇ 255. Persons skilled in the art can adjust the abovementioned ranges according to practical needs.
  • the corresponding pixel grayscale value ranges are 64 ⁇ R ⁇ 192, 64 ⁇ G ⁇ 192 and 64 ⁇ B ⁇ 192.
  • the converting module 120 determines whether the table look-up operation on the first image grayscale value is performed. Consequently, the memory space in the memory 110 required to save the mapping table can be effectively reduced. Moreover, by setting the abovementioned image grayscale value range, color mappings for some specific color ranges can be realized.
  • FIG. 4 is a flow chart of a real-time color mapping method in accordance with one embodiment of the present disclosure.
  • the real-time color mapping method may be implemented by the real-time color mapping system 100 shown in FIG. 1 , but is not limited in this regard. For convenience and clarity, it is assumed that the real-time color mapping method is implemented by the real-time color mapping system 100 shown in FIG. 1 .
  • step 402 the converting module 120 reads a mapping table stored in a memory 110 .
  • the converting module 120 utilizes at least part of bits V′ corresponding to each of a plurality of first image grayscale values V corresponding to a first image signal 203 as a memory address to look up in the mapping table, so as to convert the first image grayscale values V into a plurality of second image grayscale values Vc corresponding to a second image signal 223 .
  • the operation of utilizing the at least part of bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table is to utilize all of the bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table.
  • each of the first image grayscale values V includes n first pixel grayscale values with different colors.
  • Each of the n first pixel grayscale values is represented by m bits.
  • the operation of utilizing the at least part of bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table is to utilize n ⁇ (m ⁇ i) bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table, in which n>1 and m>i ⁇ 1.
  • the (m ⁇ i) bits corresponding to each of the n first pixel grayscale values are the highest (m ⁇ i) bits (e.g., as the first image grayscale values V and the bits V′ illustrated in FIG. 2 ).
  • each of the abovementioned second image grayscale values Vc includes n corresponding second pixel grayscale values.
  • Each of the n second pixel grayscale values is represented by m bits.
  • the operation of utilizing the n ⁇ (m ⁇ i) bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table to convert the first image grayscale values V into the second image grayscale values Vc further includes: converting the n ⁇ (m ⁇ i) bits of each of the first image grayscale values V into corresponding n ⁇ (m ⁇ i) bits of each of the second image grayscale values Vc according to a look-up result (e.g., as the bits Vc′ and the second image grayscale values Vc shown in FIG. 2 ).
  • the (m ⁇ i) bits corresponding to each of the n first pixel grayscale values are the highest (m ⁇ i) bits (e.g., as the second image grayscale values Vc illustrated in FIG. 2 ).
  • the operation of utilizing the n ⁇ (m ⁇ i) bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table to convert the first image grayscale values V into the second image grayscale values Vc further includes: integrating the n ⁇ i un-converted bits and the corresponding n ⁇ (m ⁇ i) converted bits of each of the first image grayscale values V to generate the corresponding second image grayscale value.
  • the lowest i bits of each of the abovementioned n second pixel grayscale values are the same as the lowest i bits of each corresponding pixel grayscale value of the abovementioned n first pixel grayscale values.
  • the operation of utilizing the at least part of bits corresponding to each of the first image grayscale values V as the memory address to look up in the mapping table to convert the first image grayscale values V into the second image grayscale values Vc further includes: determining whether a first image grayscale value to be converted is within an image grayscale value range, in which the first image grayscale value to be converted is one of the first image grayscale values V; and if the first image grayscale value to be converted is not within the image grayscale value range, setting a corresponding second image grayscale value of the second image grayscale values Vc to be the same as the first image grayscale value to be converted.
  • each of the first image grayscale values includes n first pixel grayscale values with different colors. Moreover, whether the first image grayscale value to be converted (from one of the first image grayscale values V) is within the image grayscale value range is determined according to whether the n first pixel grayscale values of the first image grayscale value to be converted are within corresponding pixel grayscale value ranges.
  • FIG. 5 is a flow chart of a real-time color mapping method in accordance with one embodiment of the present disclosure. Compared with the real-time color mapping method shown in FIG. 4 , the real-time color mapping method shown in FIG. 5 further includes steps 502 and 504 .
  • the real-time color mapping method may be implemented by the real-time color mapping system 100 shown in FIG. 1 , but is not limited in this regard. For convenience and clarity, it is assumed that the real-time color mapping method is implemented by the real-time color mapping system 100 shown in FIG. 1 .
  • the first storage unit 210 is utilized to store first image data of the first image signal 203 .
  • the first image data include a plurality of first image grayscale values V.
  • the second storage unit 220 is utilized to store second image data of the second image signal 223 .
  • the second image data include the second image grayscale values Vc.
  • the color mapping disclosed in the present disclosure is more precise with more freedom for conversions.
  • the present disclosure also discloses utilizing only part of bits corresponding to image grayscale values as the memory address to look up in the mapping table. Consequently, the memory space in the memory required to save the mapping table can be greatly reduced. Also, the continuity of the grayscale values can be effectively kept in the converted image signals.
  • a near 24 bits color mapping can be performed by utilizing a mapping table occupying only 42 M bits of memory space. Therefore, the memory required for color mappings can be reduced, and the speed of color mappings can be improved without affecting the effects of color displaying.
  • the present disclosure also discloses determining whether the table look-up operation on a first image grayscale value is performed by checking whether the first image grayscale value to be converted is within an image grayscale value range. Consequently, the memory space in the memory required to save the mapping table can again be effectively reduced. Moreover, by setting the abovementioned image grayscale value range, color mappings for some specific color ranges can be realized.

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TWI489445B (zh) 2015-06-21
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