CN1245018C - Method for eliminating scintilltion of moving picture - Google Patents
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Abstract
本发明涉及一种运动画面中闪烁的消除方法,特别涉及一种对数字图像显示过程中因摄像装置的参数设置和外部光源不相适应时出现的滚动暗条纹进行消除的方法。本发明提出的目的通过以下方案来实现,一种数字图像显示过程中画面闪烁的消除方法:首先,对摄像装置依次切换不同的参数设置状态并判断图像上是否有暗条纹出现; 然后,根据摄像装置在不同的参数设置下出现滚动暗条纹的情况判断出此时的光源种类;最后,修改摄像头的参数使其适应环境光源进而消除图像上滚动的暗条纹。本发明所述方法主要通过微机完成,不需要太多的人工操作且判断精度高,计算量小。The invention relates to a method for eliminating flicker in a moving picture, in particular to a method for eliminating rolling dark stripes that appear when the parameter setting of the camera device is not compatible with the external light source during the digital image display process. The purpose proposed by the present invention is achieved by the following scheme, a method for eliminating screen flicker in a digital image display process: firstly, switch the different parameter setting states of the camera device in turn and judge whether there are dark stripes on the image; then, according to the camera The device can determine the type of light source when there are rolling dark stripes under different parameter settings; finally, modify the parameters of the camera to adapt to the ambient light source to eliminate the rolling dark stripes on the image. The method of the present invention is mainly completed by a microcomputer, does not require too much manual operation, has high judgment accuracy, and has a small amount of calculation.
Description
技术领域technical field
本发明涉及一种运动画面中闪烁的消除方法,特别涉及一种对数字图像显示过程中因摄像装置的参数设置和外部光源不相适应时出现的滚动暗条纹进行消除的方法。The invention relates to a method for eliminating flicker in a moving picture, in particular to a method for eliminating rolling dark stripes that appear when the parameter setting of the camera device is not compatible with the external light source during the digital image display process.
背景技术Background technique
在数字摄像装置进行工作时,为了适应不同的频率的人造光源和室外自然光,都要对摄像装置的一些参数进行相应的设置,其中一个比较重要的参数是摄像装置的自动曝光时间。数字摄像装置在工作的时候总是根据周围环境的明暗变化不断的调整曝光时间,对于不用的环境光源,曝光时间初始值和每一次调整的步长都会有所不同。但是在实际使用的过程中,摄像装置的参数设置和实际的环境光源经常有不匹配的情况发生,画面的闪烁便会随之发生。When the digital camera device is working, in order to adapt to artificial light sources of different frequencies and outdoor natural light, some parameters of the camera device must be set accordingly, and one of the more important parameters is the automatic exposure time of the camera device. When the digital camera is working, it always adjusts the exposure time continuously according to the light and shade changes of the surrounding environment. For unused ambient light sources, the initial value of the exposure time and the step size of each adjustment will be different. However, in the process of actual use, there is often a mismatch between the parameter settings of the camera device and the actual ambient light source, and flickering of the picture will occur accordingly.
比如:在50Hz交流电驱动的光源下,摄像装置曝光时间理应总是0.01秒的整数倍。摄像装置的参数设置可能会处在60Hz或者室外自然光情况下的设置状态,此时曝光时间并不是0.01秒的整数倍,于是摄像装置所捕捉的图像上就会出现竖向滚动的暗条纹,这样会严重影响图像质量。同理,在60Hz光源下,光源的闪烁周期应该是1/120秒,所以摄像装置的自动曝光时间理应是1/120秒的整数倍。但如果此时摄像装置参数的设置却处在50Hz光源或者室外自然光情况下的,那么实际的曝光时间也并不是1/120秒的整数倍,同样,在显示的图像上也会出现竖向滚动的暗条纹。For example: under a light source driven by 50 Hz alternating current, the exposure time of the camera should always be an integer multiple of 0.01 second. The parameter setting of the camera device may be in the setting state of 60Hz or outdoor natural light. At this time, the exposure time is not an integer multiple of 0.01 second, so vertical scrolling dark stripes will appear on the image captured by the camera device. Will seriously affect the image quality. Similarly, under a 60Hz light source, the flickering period of the light source should be 1/120 second, so the automatic exposure time of the camera device should be an integer multiple of 1/120 second. But if the parameters of the camera device are set under 50Hz light source or outdoor natural light at this time, the actual exposure time is not an integral multiple of 1/120 second, and vertical scrolling will also appear on the displayed image of dark stripes.
此外,在有些时候,这种暗条纹非常微弱,使用者通过肉眼很难去进行判断,在对画面质量要求高的操作标准下,这种情况非常讨厌。In addition, in some cases, the dark stripes are very weak, and it is difficult for the user to judge with the naked eye. Under the operating standard that requires high image quality, this situation is very annoying.
本发明的目的就是提出一种避免上述情况出现的方法,对摄像时的外部光源进行判断检测进而选择合适的摄像参数设置,以有效的消除画面的闪烁。The object of the present invention is to propose a method to avoid the above situation, to judge and detect the external light source when taking pictures, and then to select the appropriate shooting parameter settings, so as to effectively eliminate the flickering of the picture.
发明内容Contents of the invention
当摄像头的参数设置和实际的环境光源不匹配的时候,摄像头所捕捉的图像上会出像滚动的暗条纹,此时对于某一行像素来说,在连续的两帧间可能有明显的明暗变化,所以就可以根据一行像素在两帧间的明暗变化来判断图像上是否有暗条纹出现。但是如果只取一行像素进行判断,那么图像上的噪声,和摄像头的抖动都会严重影响判断精度,而且有可能某一行在第一帧的时候正好处在暗条纹中,当第二帧的时候这一行又恰巧还处在暗条纹中。于是判断的目的便无法达到了。所以在资源允许的情况下,推荐尽可能取更多的行进行判断以提高判断精度。When the parameter settings of the camera do not match the actual ambient light source, rolling dark stripes will appear on the image captured by the camera. At this time, for a certain row of pixels, there may be obvious light and dark changes between two consecutive frames. , so it can be judged whether there are dark stripes on the image according to the light and shade changes of a row of pixels between two frames. However, if only one row of pixels is taken for judgment, the noise on the image and the shake of the camera will seriously affect the judgment accuracy, and it is possible that a certain row is in the dark stripes in the first frame, and when the second frame One line happened to be still in the dark stripes. Therefore, the purpose of judgment cannot be achieved. Therefore, if resources permit, it is recommended to take as many rows as possible for judgment to improve judgment accuracy.
本发明提出的目的通过以下方案来实现,一种数字图像显示过程中画面闪烁的消除方法:The object proposed by the present invention is achieved by the following scheme, a method for eliminating screen flicker in a digital image display process:
首先,对摄像装置依次切换不同的参数设置状态并判断图像上是否有暗条纹出现;First, switch the different parameter setting states of the camera device in turn and judge whether there are dark stripes on the image;
然后,根据摄像装置在不同的参数设置下出现滚动暗条纹的情况判断出此时的光源种类;Then, the type of light source at this time is judged according to the rolling dark stripes appearing in the camera device under different parameter settings;
最后,修改摄像头的参数使其适应环境光源进而消除图像上滚动的暗条纹。Finally, the parameters of the camera are modified to adapt to the ambient light source to remove dark streaks rolling across the image.
其中在第一个步骤中对图像上是否有暗条纹出现的判断是依照下面的方法完成的:Wherein in the first step, the judgment whether there are dark stripes on the image is completed according to the following method:
首先,从一组连续图像中截取一帧静态图像,并计算出每个像素的亮度值,然后把每一行内各像素的亮度值进行累加,得到一个相应的数组一;First, intercept a frame of static image from a group of continuous images, and calculate the brightness value of each pixel, and then accumulate the brightness values of each pixel in each row to obtain a corresponding array one;
其次,取第二帧图像并按照与上述过程相同的方式,得到另一个相应的数组二;Second, take the second frame image and follow the same way as the above process to get another corresponding array two;
然后,将数组一和数组二中对应的行像素亮度累加值逐一相减,并取绝对值;Then, subtract the corresponding row pixel brightness accumulation values in array 1 and array 2 one by one, and take the absolute value;
最后,将上述绝对值进行累加,如果该数量大于预先设定的阈值,则可判断在这种环境光源下,摄像装置所捕捉的图像上没有滚动的暗条纹出现,反之,则说明图像上有滚动的暗条纹。Finally, the above-mentioned absolute values are accumulated, and if the number is greater than the preset threshold, it can be judged that there are no scrolling dark stripes on the image captured by the camera under such an ambient light source; Rolling dark stripes.
另外,本发明所述方法并不必须对一帧图像的每一行都进行累加对比计算,也可以在不降低判断精度的前提下,从图像中抽取一定数量的行像素进行上述方法的对比判断,以减少计算量。In addition, the method of the present invention does not necessarily perform cumulative comparison calculations for each line of a frame of image, and can also extract a certain number of row pixels from the image to perform the comparison and judgment of the above method without reducing the judgment accuracy. to reduce the amount of computation.
与现有技术相比,本发明的优点在于:Compared with the prior art, the present invention has the advantages of:
本发明所述方法主要通过微机完成,不需要太多的人工操作且判断精度高,计算量小。本发明的上述和其它目的、特征和优点从下面结合附图和并非特定的实施例的具体描述中将变得更明显。The method of the present invention is mainly completed by a microcomputer, does not require too much manual operation, has high judgment accuracy, and has a small amount of calculation. The above and other objects, features and advantages of the present invention will become more apparent from the following detailed description in conjunction with the accompanying drawings and non-specific embodiments.
附图说明Description of drawings
图1是24bits未压缩RGB图像的存储结构;Figure 1 is the storage structure of 24bits uncompressed RGB image;
图2是50Hz交流电时电流的变化周期;Figure 2 is the change period of the current at 50Hz alternating current;
图3是50Hz交流电时光源闪烁周期;Figure 3 is the flickering cycle of the light source at 50Hz alternating current;
图4是进行本发明所述方法的流程简单示意框图;Fig. 4 is a simple schematic block diagram of the flow process of the method of the present invention;
图5是对图像的行像素进行累加操作的流程图;Fig. 5 is the flow chart of carrying out accumulation operation to the row pixel of image;
图6是进行比较步骤模块的流程图;Fig. 6 is the flow chart that carries out comparison step module;
具体实施例specific embodiment
在下面的说明中,公知的功能或结构将不再详细说明,以避免与本发明的内容存在不必要的混淆。In the following description, well-known functions or structures will not be described in detail to avoid unnecessary confusion with the content of the present invention.
本发明以摄像头所捕捉到的连续数字图像为例进行分析。The present invention analyzes the continuous digital images captured by the camera as an example.
从摄像头捕捉到的视频流是由一帧一帧的静态图像组成的,在本方法中的每帧静态图像是未经压缩的24bits RGB图像。图像像素的存储结构如图1所示(设图像尺寸为M*N,单位:像素):The video stream captured from the camera is composed of frame-by-frame still images, and each frame of still images in this method is an uncompressed 24bits RGB image. The storage structure of image pixels is shown in Figure 1 (assuming the image size is M*N, unit: pixel):
像素的存储遵从由左至右、由下至上的原则。对于一个24bits的RGB图像来说,左下角的像素存在文件数据区的最前面,而右上角的像素存在文件最后面。每一个像素占据3个字节,依次存放其B、G、R通道值,从0至255。这三个通道分别代表蓝、绿、红光学三原色,它们的值表示其各自光光强,其中0为无光、255为光强最大。因此(0,0,0)代表纯黑色,(255,255,255)代表纯白色。为方便文件存储,RGB图像每一行像素占据4的整数倍个字节。不足部分需在末尾补0。例如有一个24bits RGB图像宽度为6个像素,则应该在其每一行第六个像素的R值后补两个0(20-3*6=2)。The storage of pixels follows the principle of left-to-right and bottom-up. For a 24bits RGB image, the pixel in the lower left corner is stored at the front of the file data area, and the pixel in the upper right corner is stored at the end of the file. Each pixel occupies 3 bytes, and its B, G, and R channel values are stored sequentially, from 0 to 255. These three channels represent the three optical primary colors of blue, green, and red respectively, and their values represent their respective light intensity, among which 0 means no light, and 255 means the maximum light intensity. So (0,0,0) represents pure black and (255,255,255) represents pure white. For the convenience of file storage, each row of pixels in an RGB image occupies an integer multiple of 4 bytes. Insufficient part needs to add 0 at the end. For example, if there is a 24bits RGB image with a width of 6 pixels, two 0s should be added after the R value of the sixth pixel in each row (20-3*6=2).
在本方法中,作运动图像判断时需要用到一个像素的亮度值,此值是通过RGB输入信号来创建的,方法是将RGB信号的特定部分叠加到一起,具体公式如下:In this method, the luminance value of a pixel is used for motion image judgment, and this value is created by RGB input signals by superimposing specific parts of the RGB signals together, the specific formula is as follows:
Y=0.299R+0.587G+0.114B (1)Y=0.299R+0.587G+0.114B (1)
使用不同的交流电,会产生不同频率的人造光源。在实际操作中,50Hz和60Hz这两种人造光源使用的比较普遍,因此在本发明中我们以这两种光源和室外自然光源为例来对所述方法进行详细说明。Using different alternating currents, artificial light sources of different frequencies will be generated. In actual operation, two kinds of artificial light sources of 50 Hz and 60 Hz are commonly used, so in the present invention, we use these two kinds of light sources and outdoor natural light sources as examples to describe the method in detail.
在使用50Hz交流电的情况下,电流的变化周期为0.02秒,如图2所示;In the case of using 50Hz alternating current, the change period of the current is 0.02 seconds, as shown in Figure 2;
则用50Hz交流电驱动时的光源闪烁周期为0.01秒,如图3所示。对于室外自然光源,由于自然光的闪烁周期我们可以认为是无穷小,不存在闪光周期,所以自动曝光时间为任意值时,图像上都不会出现暗条纹。Then, the flickering period of the light source when driven by 50Hz alternating current is 0.01 second, as shown in FIG. 3 . For outdoor natural light sources, since the flickering period of natural light can be regarded as infinitesimal, there is no flickering period, so when the automatic exposure time is any value, dark stripes will not appear on the image.
图4是进行本发明所述方法的流程简单示意框图,这这里为了方便说明,我们将上述方法分成几个步骤模块来表达:Fig. 4 is a simple schematic block diagram of the flow process of the method of the present invention, here for convenience of explanation, we divide the above-mentioned method into several step modules to express:
A.切换设置模块A. Toggle settings module
这部分模块的功能是将摄像头在不同光源下的参数设置下进行切换。在不同的光源下,为了得到清晰的画面都要对摄像头的几个参数设置不同的值,譬如在本方法中我们是根据图像上滚动的暗条纹来判断所处的环境光源的,而这种暗条纹的产生主要是由曝光时间引起的,所以我们在这里要对在不同光源下设置曝光时间的不同进行说明:The function of this part of the module is to switch the camera under the parameter settings under different light sources. Under different light sources, in order to obtain a clear picture, several parameters of the camera must be set to different values. For example, in this method, we judge the ambient light source according to the dark stripes rolling on the image, and this The generation of dark streaks is mainly caused by the exposure time, so here we will explain the difference in setting the exposure time under different light sources:
50Hz光源的摄像头设置:曝光时间应为1/100秒的整数倍Camera settings for 50Hz light source: Exposure time should be an integer multiple of 1/100 second
60Hz光源的摄像头设置:曝光时间应为1/120秒的整数倍Camera settings for 60Hz light source: the exposure time should be an integer multiple of 1/120 second
自然光的摄像头设置: 虽然曝光时间可以任意,图像上都不会产生暗条纹,但是为了方便利于判断,自然光下的曝光时间设置不能为1/100秒或者1/120秒的整数倍。这是因为:处在50Hz的光源下,摄像头的设置处在室外自然光条件下,但是此时曝光时间恰好是1/100秒的整数倍,那么虽然摄像头的设置是错误的,其所捕捉的图像上依然没有暗条纹,这样就无法进行判断了。Camera settings in natural light: Although the exposure time can be arbitrary and there will be no dark stripes on the image, for convenience and judgment, the exposure time under natural light cannot be set to an integer multiple of 1/100 second or 1/120 second. This is because: under the light source of 50Hz, the setting of the camera is under the condition of outdoor natural light, but the exposure time at this time is exactly an integer multiple of 1/100 second, so although the setting of the camera is wrong, the captured image There are still no dark stripes on the surface, so it is impossible to judge.
在判断时,可以采用不同的切换设置的顺序,比如:室外自然光下摄像头设置→50Hz光源下摄像头设置→60Hz光源下摄像头设置。也就是说,不论摄像头所处的环境是什么样的光源,都先把摄像头的参数设置到自然光条件下,然后执行B(累加)和C(比较)模块,对图像进行处理;之后,再依次把摄像头的参数设置到50Hz和6 0Hz光源自然光条件下,同样执行B(累加)和C(比较)模块,对图像进行处理。When judging, different switching settings can be adopted in an order, for example: camera setting under outdoor natural light→camera setting under 50Hz light source→camera setting under 60Hz light source. That is to say, no matter what kind of light source the environment of the camera is in, first set the parameters of the camera to the natural light condition, and then execute the B (accumulation) and C (comparison) modules to process the image; after that, sequentially Set the parameters of the camera to 50Hz and 60Hz under natural light conditions, and also execute the B (accumulation) and C (comparison) modules to process the image.
B.累加模块B. Accumulation module
当将摄像头的设置切换到某一种光源后,就要开始对图像的行像素进行累加操作了。具体过程如附图5所示:After switching the camera settings to a certain light source, it is necessary to start the accumulation operation of the row pixels of the image. The specific process is shown in Figure 5:
a.截取一帧的图像,根据公式(1)计算出每个像素的亮度值,然后把每一行像素的亮度值累加,并付值给数组ulPrj1a. Intercept a frame of image, calculate the brightness value of each pixel according to the formula (1), then accumulate the brightness value of each row of pixels, and pay the value to the array ulPrj1
line1:Y1+Y2+……+Ym →ulPrj1[0]line1: Y1+Y2+...+Ym →ulPrj1[0]
line2:Y1+Y2+……+Ym →ulPrj1[1]line2: Y1+Y2+...+Ym →ulPrj1[1]
……
……
line n:Y1+Y2+……+Ym →ulPrj1[n]line n: Y1+Y2+...+Ym →ulPrj1[n]
b.取第二帧图像与过程a类似,也是把每一行的亮度累加值,并付值给数组ulPrj2。b. Taking the second frame of image is similar to process a, but also accumulating the brightness value of each row, and paying the value to the array ulPrj2.
在实际计算中,数组ulPrj所含各个图像行像素的亮度累加值可能比较大,所占用的比特数也相应较多,根据这种情况可以对该些累加值进行等比化的缩小处理,则阈值T1也需作相应的处理。In actual calculation, the brightness accumulation value of each image row pixel contained in the array ulPrj may be relatively large, and the number of bits occupied is correspondingly large. According to this situation, these accumulation values can be proportionally reduced, then The threshold T1 also needs to be processed accordingly.
当然,根据本发明可知,也并不必须对该一帧图像的N行都进行累加对比计算,也可以在不降低判断精度的前提下,从图像中抽取一定数量的行像素进行累加,譬如,隔一抽一或隔二抽一等等,以减少计算量。Of course, according to the present invention, it is not necessary to carry out cumulative comparison calculations for the N lines of the image in one frame, and it is also possible to extract a certain number of row pixels from the image for accumulation without reducing the judgment accuracy, for example, Draw one every other or draw one every two, etc., to reduce the amount of calculation.
C.比较模块C. Compare modules
当进行了对图像行像素亮度累加(B模块)后,要对所得到的数组ulPrj1和ulPrj2进行比较(C模块),图6是进行比较步骤模块的流程图:After carrying out image line pixel luminance accumulation (B module), will compare (C module) to obtained array ulPrj1 and ulPrj2, Fig. 6 is the flow chart that carries out comparison step module:
a.对数组ulPrj1和ulPrj2的对应元素值逐一相减,并取绝对值:a. Subtract the corresponding element values of the arrays ulPrj1 and ulPrj2 one by one, and take the absolute value:
V1=|ulPrj1[1]-ulPrj2[1]|V1=|ulPrj1[1]-ulPrj2[1]|
V2=|ulPrj1[2]-ulPrj2[2]|V2=|ulPrj1[2]-ulPrj2[2]|
……
……
Vn=|ulPrj1[n]-ulPrj2[n]|Vn=|ulPrj1[n]-ulPrj2[n]|
b.再把所得到的V值累加b. Then add up the obtained V value
nSum=V1+V2+…+VnnSum=V1+V2+...+Vn
c.如果nSum大于预先设定的阈值T则说明着这种环境光源下,摄像头所捕捉的图像上没有滚动的暗条纹,反之,说明图像上有滚动的暗条纹。c. If nSum is greater than the preset threshold T, it means that there are no scrolling dark stripes on the image captured by the camera under this ambient light source; otherwise, it means that there are rolling dark stripes on the image.
在比较(C模块)完成后,就可以把摄像头参数的设置切换到其他的光源条件下,重复模块B和C的操作。直到完成了摄像头参数分别设置在室外自然光下、50Hz光源下和60Hz光源下时的累加(B模块)和比较(C比较)。After the comparison (module C) is completed, the camera parameter settings can be switched to other light source conditions, and the operations of modules B and C can be repeated. Until the camera parameters are respectively set under outdoor natural light, 50Hz light source and 60Hz light source, the accumulation (B module) and comparison (C comparison) are completed.
D.判断模块D. Judgment module
综合前面过程的结果,进行判断,最后得出此时摄像头所处在的环境到底是那种人造光源或者是室外自然光源。譬如:如果当摄像头的参数设置处在50Hz、60Hz和室外自然光时,经过判断,图像上都没有出现滚动的暗条纹,那么就可以得出此时的光源为室外自然光;如果摄像头参数设置在50Hz光源条件下没有出现暗条纹,而在60Hz和室外自然光条件下都有暗条纹时,那那么就可以得出此时的光源为50Hz人造光源;如果摄像头参数设置在60Hz光源条件下没有出现暗条纹,而在50Hz和室外自然光条件下都有暗条纹时,那么就可以得出此时的光源为60Hz人造光源。Based on the results of the previous process, make a judgment, and finally find out whether the environment where the camera is located at this time is the artificial light source or the outdoor natural light source. For example: if the camera parameters are set at 50Hz, 60Hz and outdoor natural light, after judgment, there are no scrolling dark stripes on the image, then it can be concluded that the light source at this time is outdoor natural light; if the camera parameters are set at 50Hz If there are no dark stripes under light source conditions, but there are dark stripes under 60Hz and outdoor natural light conditions, then it can be concluded that the light source at this time is 50Hz artificial light source; if the camera parameters are set under 60Hz light source conditions, no dark stripes appear , and there are dark stripes under both 50Hz and outdoor natural light conditions, then it can be concluded that the light source at this time is a 60Hz artificial light source.
然后,根据判断结果,再一次运用模块A把摄像头参数的切换到摄像头所处在的环境光源下。Then, according to the judgment result, module A is used again to switch the camera parameters to the ambient light source where the camera is located.
总上所述,这样就避免了由于摄像头参数设置和实际光源不匹配造成的图像上出现滚动的暗条纹。显然,本发明所述方法其它类型光源下也是完全可以适用的,此外以此方法的思路为基础,可以在其它领域实现一些更为复杂的内容。As mentioned above, this avoids rolling dark stripes on the image caused by the mismatch between the camera parameter settings and the actual light source. Obviously, the method described in the present invention is also fully applicable to other types of light sources. In addition, based on the idea of this method, some more complicated content can be realized in other fields.
所以本发明所述的对运动画面中闪烁的消除方法,不仅仅限于说明书和实施方式中所列运用,它完全可以被适用于各种适合本发明之领域,对于熟悉本领域的人员而言可容易地实现另外的优点和进行修改,因此在不背离权利要求及等同范围所限定的一般概念的精神和范围的情况下,本发明并不限于特定的细节、代表性的设备和这里示出与描述的图示示例。Therefore, the method for eliminating flicker in the moving picture described in the present invention is not limited to the application listed in the description and the implementation, it can be applied to various fields suitable for the present invention, and can be used by those familiar with the field Additional advantages are readily realized and modifications are readily realized, so the invention is not limited to the specific details, representative apparatus and devices shown and described herein without departing from the spirit and scope of the general concept defined by the claims and equivalents. A graphical example of the description.
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| JP4285542B2 (en) * | 2004-11-15 | 2009-06-24 | ソニー株式会社 | Flicker correction method, flicker correction circuit, and imaging apparatus using them |
| CN101500076B (en) * | 2008-02-03 | 2013-09-18 | 深圳艾科创新微电子有限公司 | Method and apparatus for eliminating scrolling stripe of image |
| CN101600045B (en) * | 2008-06-03 | 2010-12-29 | 联咏科技股份有限公司 | Signal conditioning circuit and video device thereof |
| CN101414357B (en) * | 2008-11-12 | 2013-07-24 | 北京中星微电子有限公司 | Method and apparatus for detecting film flicker |
| CN102006423B (en) * | 2010-11-15 | 2012-07-04 | 无锡中星微电子有限公司 | Camera and method and device for eliminating flicker phenomenon of same |
| CN102572504A (en) * | 2011-03-29 | 2012-07-11 | 广州市浩云安防科技股份有限公司 | Method for detecting scrolling based on fast Fourier transformation |
| JP5775732B2 (en) * | 2011-04-22 | 2015-09-09 | オリンパス株式会社 | Camera and camera control method |
| CN104125401B (en) * | 2014-07-22 | 2017-08-25 | 广州三星通信技术研究有限公司 | Control the method and filming apparatus of image working sensor |
| CN105721874B (en) * | 2016-02-05 | 2019-05-17 | 南京云岩信息科技有限公司 | An Intra-Frame Flicker Reduction Method for Parallel High Efficiency Video Coding |
| CN110248110B (en) * | 2019-06-28 | 2021-03-26 | Oppo广东移动通信有限公司 | Shooting parameter setting method, setting device, terminal device and readable storage medium |
| CN110445952B (en) * | 2019-07-15 | 2021-12-21 | 浙江大华技术股份有限公司 | Picture flicker processing method, device, equipment and storage medium of camera |
| CN112532888B (en) * | 2019-09-19 | 2022-10-04 | 杭州海康慧影科技有限公司 | Method and device for inhibiting image striation phenomenon |
| CN110930372B (en) * | 2019-11-06 | 2023-04-25 | 维沃移动通信有限公司 | Image processing method, electronic equipment and computer readable storage medium |
| CN112235505B (en) * | 2020-09-24 | 2022-08-09 | 浙江大华技术股份有限公司 | Method and device for removing image flicker and storage medium |
| JP7738647B2 (en) * | 2023-01-19 | 2025-09-12 | 北京小米移動軟件有限公司 | Imaging device and imaging control program |
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