CN101478687B - Correcting method for pseudo color pixel in digital image - Google Patents

Correcting method for pseudo color pixel in digital image Download PDF

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CN101478687B
CN101478687B CN 200810000076 CN200810000076A CN101478687B CN 101478687 B CN101478687 B CN 101478687B CN 200810000076 CN200810000076 CN 200810000076 CN 200810000076 A CN200810000076 A CN 200810000076A CN 101478687 B CN101478687 B CN 101478687B
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pixel
color
image
color correction
array
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CN101478687A (en
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周宏隆
张尹彬
黄裕程
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华晶科技股份有限公司
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Abstract

The present invention discloses a method for correcting pseudo color pixel in digital image. The method is used for correcting the pseudo color pixel which is generated after a color correction array processing. The method comprises the following steps: obtaining an original image, generating processed image after the color correction array processing; comparing the pixel of original image and the pixel of processed image according to color diversity factor for finding out the pseudo color pixel in the processed image; executing color correction processing to the original image and the pseudocolor pixel at the corresponding position of processed image, and correcting the pseudo color pixel according to the pixel color at the corresponding position of original image.

Description

对数字图像中伪色像素的校正方法 A method for correcting a digital image of the pseudo color pixel

技术领域 FIELD

[0001] 本发明公开了一种数字图像的处理方法,尤其涉及一种对数字图像中的伪色像素的颜色校正方法。 [0001] The present invention discloses a method for processing a digital image, particularly to a method for color correction of digital images of the pseudo color pixel.

背景技术 Background technique

[0002] 人眼对色彩的识别,是基于人眼对光线存在三种不同的感应单元,不同的感应单元对不同波段的光有不同的响应曲线的原理,通过大脑的合成得到色彩的感知。 [0002] Recognition of the human eye to color is obtained based on the color perceived by the brain synthesizing three different sensing units of the human eye to light is present, the sensing unit has a different response curves to different principles of light of a different wavelength band. 一般来说, 我们可以通俗的用红绿蓝三原色的概念来理解颜色的分解和合成。 In general, we can use the concept of the popular red, green and blue to understand the decomposition and synthetic colors.

[0003] 数字相机的感光组件与人眼对于红绿蓝光的响应并不是完全相同的。 [0003] The photosensitive member of the digital camera and the human eye response to red, green and blue light are not identical. 既然感光组件对光谱的响应,与红绿蓝光各分量上与人眼对光谱的响应通常是有偏差的,当然就需要对其进行校正。 Since the spectral response of the photosensitive member, with each of the red, green and blue component of the spectral response of the human eye it is generally biased, of course, need to be corrected. 不光是在交叉效应上,同样对色彩各分量的响应强度也需要校正。 Not only in the cross effect, in response to the same intensity for each component color also needs to be corrected. 通常的做法是通过一个色彩校正阵列(colorcorrection matrix,以下简称CCM)对颜色进行一次校正。 The usual practice is to conduct a correction of a color correction by the color array (colorcorrection matrix, hereinafter referred to as CCM).

[0004] 对于颜色校正阵列的处理流程,请参考图1所示。 [0004] The processing flow for color correction array, refer to FIG. 1. 首先,设定一组颜色校正阵列(步骤S110)。 First, a set of set array of color correction (step S110). 颜色校正阵列的大小可以为一组3*3像素阵列或是4*3像素阵列。 The size of the color correction array 3 may be a group or a 4 * 3 * 3 array of pixels of the pixel array. 其中像素阵列大小根据所决定的处理算法所决定。 Wherein the pixel array size is determined according to the determined processing algorithms. 将颜色校正阵列分别套用于数字图像中,使得颜色校正阵列分别且不重叠的套用对数字图像(步骤S120)。 The arrays are set for color correction in digital images, respectively, such that the array of non-overlapping color correction applied to the digital image (step S120). 请参考式1所示,其为对颜色校正阵列表达式。 Please refer to Formula 1, which is an array of color correction expression.

~R ~ R

G 式1 G Formula 1

B B

[0006] R为红色像素;G为绿色像素;B为蓝色像素;CCMnm分别为颜色校正参数,其中m为在列的位置,η为在行的位置;R'为经过颜色校正后的红色像素;G'为经过颜色校正后的绿色像素;B'为经过颜色校正后的蓝色像素。 [0006] R is a red pixel; G is the green pixels; B is the blue pixel; CCMnm color correction parameters, respectively, wherein m is in the position of the column, [eta] is the row position; R 'is through the red color correction pixels; G 'of the green pixel after color correction; B' is a blue pixel after the color correction. 请参考图2a与图2b,其分别为数字图像经过颜色校正阵列处理的示意图。 Please refer to FIGS. 2a and 2b, a schematic diagram which are color-corrected digital image processing array. 在图2a中的原始图像200,每一个小的方块代表的是一个像素220(pixel)。 200 of the original image, each small square represents in FIG. 2a is a pixel 220 (pixel). 颜色校正阵列210为虚线框线的方块,在此假设为3*3像素大小。 Color correction array 210 is a block dashed box line, here assumed to be 3 * 3 pixel size. 在图2b中对于原始图像200每一个像素220还细分成三个不同颜色的像素,其分别为红色像素221、 绿色像素222与蓝色像素223。 In figure 2b the original image 200 for each pixel 220 subdivided into three further pixels of different colors, which are red pixels 221, green pixels 222 and blue pixels 223.

[0007] 最后根据上述运算结果,产生图2c的颜色校正后的像素值示意图。 [0007] Finally, according to the calculation result, a schematic view of a pixel value after color correction Figure 2c is generated. 在已处理图像300中的斜线方块为伪色像素230。 In the shaded block in the processed image 300 is a pseudo color pixel 230. 但是数字图像经过颜色校正处理后,虽然可以提高已处理图像300的颜色饱和度。 However, the digital images from the color correction processing can be improved although the color saturation of the image 300 have been processed. 但可能会在图像的细部中出现与原本实际景物中并不存在的色点或色块。 However, with the original color point or color does not exist in the actual scene may appear in the detail of the image.

[0008] 对于公知技术中也会利用高斯滤波或是低通滤波等方法,来进行去除伪色的处理。 [0008] For the known art also use a Gaussian filter or a low pass filter or the like, to remove false color processing. 但是这些滤波的方法是对于全部数字图像的像素来进行去除的动作,这样虽然可以去除伪色。 However, these methods are filtering operation for all the pixels of the digital image to remove, so that although a pseudo color can be removed. 但同时也会造成其它像素的颜色偏差。 But it can also cause the color deviation of the other pixels.

[0005] [0005]

[0009] 发明内容 [0009] SUMMARY OF THE INVENTION

[0010] 本发明的目的在于提供一种对数字图像出现伪色像素的相应的颜色校正方法,对数字图像中所出现的伪色像素进行校正处理。 [0010] The object of the present invention is to provide a method of correcting the respective digital color image appears in the pseudo color pixel, the pseudo color pixel in the digital image correction processing occurring.

[0011] 为了实现上述目的,本发明提供了一种对数字图像中伪色像素的校正方法,其用以校正经过一颜色校正阵列处理后所产生的伪色像素,包括下列步骤:取得一原始图像,使利用一颜色校正阵列对该原始图像进行颜色校正处理,用以生成一已处理图像;根据一颜色差异度用以对比该原始图像与该已处理图像间的像素,找出该已处理图像的像素中的一伪色像素;以及对该原始图像与该已处理图像的相应位置的该伪色像素依据下式进行颜色校正处理: [0011] To achieve the above object, the present invention provides a method of correcting the pseudo color pixel in a digital image, which is generated after the correction to a color correction process of the pseudo color pixel array, comprising the steps of: obtaining an original image, so that the array using a color correction for color correction of the original image, to generate a processed image; contrast for the original image and the processed pixels between the image has been processed, to find a color according to the degree of difference a pseudo color pixel in the image; and the pseudo color pixel of the original image corresponding to the position of the processed image according to the color correction formula:

[0012] Pixelimg3 = rn*Pixelimgl+n*Pixelimg2 [0012] Pixelimg3 = rn * Pixelimgl + n * Pixelimg2

[0013] 其中,Pixelifflgl为该原始图像的像素;Pixelimg2为该已处理图像的像素;Pixelimg3 为一输出像素;m+n = l,m ^ 0,n ^ 0 ;m值和η值根据一查找表而查找得到,m值相应于该原始图像,η值相应于该已处理图像。 [0013] wherein, Pixelifflgl for the original image pixel; Pixelimg2 for the pixels of the image have been processed; Pixelimg3 into an output pixel; m + n = l, m ^ 0, n ^ 0; m value according to a lookup value and η lookup tables to obtain, m values ​​corresponding to the original image, η values ​​corresponding to the processed image.

[0014] 本发明提供一种对数字图像的伪色像素的校正处理。 [0014] The present invention provides a process of correcting the pseudo color pixel of the digital image. 用以对经过颜色校正阵列处理后产生伪色像素的数字图像进行伪色像素的校正。 For the generation of the pseudo color pixel array after the treatment, the color correction of digital image correcting the pseudo color pixel. 其根据原始图像的相应位置的像素颜色对伪色像素进行校正。 Which corrects the pseudo color pixel based on the pixel color corresponding to the position of the original image. 经过校正后使得此一像素的颜色可以更为接近原始图像的像素颜色。 After this correction such that the color of a pixel can be closer to the pixel color of the original image. 并且不会影响到数字图像其它像素的颜色。 Without affecting the other color digital image pixels.

[0015] 以下结合附图和具体实施例对本发明进行详细描述,但不作为对本发明的限定。 [0015] The following embodiments in conjunction with accompanying drawings and specific embodiments of the present invention will be described in detail, but do not limit the present invention.

附图说明 BRIEF DESCRIPTION

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图1为公知技术的架构示意图; Figure 1 is a schematic view of the architecture of the known art;

图2a为公知技术的数字图像经过颜色校正阵列处理的示意图; 图2b为公知技术的数字图像经过颜色校正阵列处理的示意图; 图2c为公知技术的颜色校正后的像素值示意图; 图3为本发明的伪色校正流程示意图; 图4为本发明对伪色像素的校正示意图; 图5为颜色分布查找与颜色分布曲线图。 Figure 2a is a schematic diagram of a digital image well known art is subjected to color correction array processing; FIG. 2b is a digital image well known art schematic color-corrected array processing; FIG. 2c illustrate a pixel value after color correction known technique for; Figure 3 is a pseudo color correction process schematic invention; FIG. 4 is a schematic view of correcting the pseudo color pixel to the invention; FIG. 5 is a lookup color distribution and color distribution graph. 其中,附图标记: Wherein, reference numerals:

200 原始图像210 颜色校正阵列220 像素221 红色像素222 绿色像素223 蓝色像素230 伪色像素300 处理图像410 原始图像411 红色像素412 绿色像素[0035] 413 200 210 color correction of the original image array 220 pixel 222 pixel 221 red green blue pixel 230 pixel 223 pixel 300 pseudo color image processing an original image 410 pixel 412 red green pixel 411 [0035] 413

[0036] 420 [0036] 420

[0037] 421 [0037] 421

[0038] 422 [0038] 422

[0039] 423 [0039] 423

[0040] 430 [0040] 430

[0041] 431 [0041] 431

[0042] 432 [0042] 432

[0043] 433 [0043] 433

蓝色像素已处理图像红色像素绿色像素蓝色像素显示像素 Blue pixels processed image pixel red green blue pixel pixel pixel display

输出图像的红色像素输出图像的绿色像素输出图像的蓝色像素 Blue green pixel pixel output image pixel output image of the red output image

具体实施方式 Detailed ways

[0044] 本发明利用计算器对产生伪色的数字图像进行其校正处理。 [0044] For calculating the present invention to generate a pseudo-color digital image correction processing thereof. 请参考图3所示,其为本发明的伪色校正流程示意图。 Please schematic pseudo color correction process which the present invention 3, with reference to FIG. 本发明所提出的伪色校正方法包括下列步骤:取得原始图像,使其经由颜色校正阵列运算后生成已处理图像(步骤S310)。 False color correction method proposed by the present invention comprises the steps of: obtaining an original image, so that the processed image (step S310) to generate the color correction operation via the array. 原始图像指的是未经过处理的数字图像。 Refers to the original image is not processed digital image. 接着,将原始图像利用颜色校正阵列进行颜色校正处理,进而产生相应的已处理图像。 Next, the original image array using a color correction for color correction, thereby generating respective processed image.

[0045] 接下来,根据颜色差异度对比原始图像与已处理图像间的像素,找出已处理图像的像素中的伪色像素(步骤S320)。 [0045] Next, the pixel comparison between the original image and the processed image according to the degree of color difference, the processed image to identify pixels in the pseudo color pixel (step S320). 图像差异对比是利用一个x*y像素大小的阵列,用以分别检视数字图像中每一阵列中是否有伪色像素的出现。 Contrast of the image using an array of x * y pixels in size, to examine whether there are spurious color pixel array of each digital image.

[0046] 将原始图像与已处理图像分别对比其中相应位置的每一个像素值的颜色差异度。 [0046] The original image and the processed image, respectively, of a contrasting color difference values ​​wherein each pixel corresponding positions. 在本实施例中以图形颜色色域的红绿蓝三原色值来进行颜色差异度的对比。 In this embodiment, the pattern to RGB tristimulus values ​​of the color gamut of the color to compare differences. 除了上述的图形颜色色域外,也可以利用电视系统颜色色域(YCbCrcolor filed)来进行颜色差异度对比的依据。 In addition to the color gamut of the pattern, may be performed based on the degree of difference in color television system using contrasting color gamut (YCbCrcolor filed). 原始图像与已处理图像的相应位置的像素差异过大时,则代表有此一像素为伪色像素。 When the difference between the original image and the pixel positions corresponding to the processed image is too large, this represents a pixel with a pseudo color pixel.

[0047] 对原始图像与已处理图像的相应位置的伪色像素依据式2进行颜色校正处理(步骤S330): [0047] The pseudo color pixels in the original image and the processed image corresponding to the location of formula 2 according to color correction (step S330):

[0048] Pixelifflg3 = m*Pixelifflgl+n*Pixelifflg2 式2 [0048] Pixelifflg3 = m * Pixelifflgl + n * Pixelifflg2 Formula 2

[0049] 其中,Pixelimgl为原始图像的像素;Pixelimg2为已处理图像的像素;Pixelimg3为一输出像素;m+n = l,m彡0、n彡0。 [0049] wherein, Pixelimgl pixels of the original image; Pixelimg2 pixel of the processed image; Pixelimg3 into an output pixel; m + n = l, m San 0, n 0 San. 值得注意的是,Pixel除了可以是单一像素值外,也可以用于各颜色像素值。 It is noted that, in addition to an outer Pixel values ​​of a single pixel, may be used for each color pixel values.

[0050] 请参考图4所示,其为本发明对伪色像素校正的示意图。 [0050] Please refer to FIG. 4, which is a schematic diagram of the pseudo color pixel correction of the present invention. 将已处理图像中出现伪色像素420,根据其位置从原始图像中选取相同位置的像素410出来。 The processed image appearing in the pseudo color pixel 420, the pixel 410 according to the position selected out of the same position from the original image. 并将原始图像的像素410的颜色分量与伪色像素420的颜色分量进行颜色校正。 And the color component of the original image pixel 410 performs color correction with the color component of the pseudo color pixel 420. 最后,将所得到的各颜色分量重新整合成输出图像的显示像素430。 Finally, each color component of the obtained re-integrated into the display pixel of the output image 430. 原始图像的像素410的颜色分量分别为红色像素411、绿色像素412与蓝色像素413 ;伪色像素420的颜色分量分别为红色像素421、绿色像素422与蓝色像素423 ;输出图像的显示像素430的颜色分量分别为红色像素431、绿色像素432与蓝色像素433。 The display pixels of the output image; color component of the original image of the pixels 410 411 are respectively a red pixel, blue pixel 412 and green pixel 413; 420 pseudo color pixel color components are a red pixel 421, blue pixel 422 and green pixel 423 430 color components are red pixels 431, green pixels 432 and blue pixels 433.

[0051] 颜色校正处理根据一颜色分布查找表,查找出相应原始图像的m值与相应已处理图像的η值,根据原始图像与已处理图像之间的像素颜色差异度,查找出相应原始图像的m [0051] The color correction processing according to the value of a color distribution m lookup table, find the corresponding original image corresponding to the original image corresponding to η values ​​of an image processed according to the pixels of the color difference between the original image and the processed image, find out the m

6值与相应已处理图像的η值。 values ​​and corresponding values ​​of η 6 of the processed image. m值与η值的总量为1,其所表示的意义为将原始图像的像素与伪色像素值进行一比例的调和。 The total value of m is 1 and the value η, the significance is that it represents the pixels of the original image is a harmonic ratio to pseudo color pixel value. 因为每一个颜色分量对于是觉得显示并非是等量的,若是将每一个颜色分量给予相同的调整值的话,会让校正后的颜色差异更大。 Because for each color component that is not displayed in the same amount, if each of the color components are given the same adjustment value, the greater will the color difference correction. 请参考图5所示,其为颜色分布查找表与颜色分布曲线示意图。 With reference to FIG. 5, a schematic view of a color look-up table for the color distribution profile.

[0052] 因为直接将伪色像素的颜色改换成原始图像的相应像素的颜色的话,容易使得周遭的像素间的颜色差异过大,造成视觉上明显的突兀。 [0052] because the color of the corresponding pixel color directly replacing it with the pseudo color pixel of the original image, it is easy to color differences between pixels that around too large, causing significant visually obtrusive. 所以本发明利用原始图像与已处理图像相应位置的像素,将两种颜色依据上述的方式查找出相应的比例来混合,借以调配出与周围相仿的颜色。 Therefore, the present invention utilizes the original image and the pixel positions corresponding to the processed image, the two colors to find the corresponding mixing ratio based on the above-described manner, whereby a formulation similar to the color of the surrounding.

[0053] 更进一步来说,可以针对伪色像素420的显示色域的显示分量进行式2的处理。 [0053] Still further, it may be processed for the display component of Formula 2 displays the pseudo color pixel 420 of a color gamut. 利用图形颜色色域的红绿蓝三原色值来进行颜色差异度的对比。 Using a graphical gamut colors red, green and blue color values ​​of the differences in contrast. 其处理过程还包括下列步骤:将已处理图像的伪色像素生成相应的红色像素421、绿色像素422与蓝色像素423。 Which process further comprises the steps of: pseudo color pixel to generate the processed image corresponding to the red pixel 421, blue pixel 422 and green pixel 423. 分别将伪色像素的红色像素421与原始图像的红色像素411进行颜色校正处理;将伪色像素的绿色像素422与原始图像的绿色像素412进行颜色校正处理;将伪色像素的蓝色像素423 与原始图像的蓝色像素413进行颜色校正处理。 The red pixel, respectively, the red pixel 421 of the pseudo color pixel of the original image 411 for color correction; green pixel including a green pixel 422 of the pseudo color pixel of the original image 412 for color correction; pseudo color pixel of the blue pixel 423 a blue pixel of the original image 413 for color correction.

[0054] 在此利用调整伪色像素的红色像素421为例。 [0054] In the use of the pseudo color pixel to adjust the red pixel 421 for example. 假设原始图像中的像素的红色像素411值为100的话,产生伪色像素的红色像素421值为150。 Suppose the original image pixels of the red pixel value is 411, then 100 generates a pseudo color pixel 421 is the red pixel 150. 查找颜色分布查找表,用以找出其原始图像的颜色与伪色像素值的差异比例,从对照表中查找出相应m值与η值。 Find the distribution of color lookup table to find the proportion of the color original image and the pseudo color pixel difference values, to find the corresponding value η m from the lookup table values. 简单的来说,因为伪色的红色值比原始图像的红色值大,所以调整原始图像的m值会比η值大。 Simply put, because the red value of the pseudo color red value is greater than the original image, the adjustment of the original image is larger than the value η m value. 假设所查找到的m值为0. 7的话,则η值为0. 3。 Suppose the found value m, then 0.7, the η value of 0.3. 在依据式2计算输出像素值,最后得到的结果为下式所示: Calculating an output pixel value according to Formula 2, final result is represented by the following formula:

[0055] 0.7*100+0.3*150 = 115 式3 [0055] 0.7 * 100 0.3 * 150 + 3 = 115 of formula

[0056] 若是以电视系统颜色色域的显示分量进行式2的处理,则进行下列步骤:将已处理图像的像素生成相应的亮度分量、蓝色色度分量与红色色度分量;将亮度分量进行颜色校正处理;将蓝色色度分量进行颜色校正处理;将红色色度分量进行颜色校正处理。 [0056] If the processing of Formula 2 to display color gamut component television system, the following steps of: generating the processed image pixels corresponding to the luminance component, blue chrominance components and red chrominance components; the luminance component color correction; the blue color correction chrominance components; the red color correction chrominance component.

[0057] 本发明提供一种对数字图像的伪色像素的校正处理。 [0057] The present invention provides a process of correcting the pseudo color pixel of the digital image. 用以对经过颜色校正阵列处理后产生伪色像素的数字图像进行伪色像素的校正。 For the generation of the pseudo color pixel array after the treatment, the color correction of digital image correcting the pseudo color pixel. 其根据原始图像的相应位置的像素颜色对伪色像素进行校正。 Which corrects the pseudo color pixel based on the pixel color corresponding to the position of the original image. 经过校正后使得此一像素的颜色可以更为接近原始图像的像素颜色。 After this correction such that the color of a pixel can be closer to the pixel color of the original image. 并且不会影响到数字图像其它像素的颜色。 Without affecting the other color digital image pixels.

[0058] 当然,本发明还可有其它多种实施例,在不背离本发明精神及其实质的情况下,熟悉本领域的技术人员当可根据本发明作出各种相应的改变和变形,但这些相应的改变和变形都应属于本发明所附的权利要求的保护范围。 [0058] Of course, the present invention may have a variety of other embodiments, without departing from the spirit and essence of the present invention, those skilled in the art can make various corresponding modifications and variations according to the present invention, but these corresponding changes and variations should fall within the scope of the appended claims.

7 7

Claims (9)

  1. 一种对数字图像中伪色像素的校正方法,其用以校正经过一颜色校正阵列处理后所产生的伪色像素,其特征在于,该伪色处理的方法包括下列步骤:取得一原始图像,使利用一颜色校正阵列对该原始图像进行颜色校正处理,用以生成一已处理图像;根据一颜色差异度用以对比该原始图像与该已处理图像间的像素,找出该已处理图像的像素中的一伪色像素;以及对该原始图像与该已处理图像的相应位置的该伪色像素依据下式进行颜色校正处理:Pixelimg3=m*Pixelimgl+n*Pixelimg2其中,Pixelimg1为该原始图像的像素;Pixelimg2为该已处理图像的像素;Pixelimg3为一输出像素;m+n=1,m≥0、n≥0;m值和n值根据一查找表而查找得到,m值相应于该原始图像,n值相应于该已处理图像。 Kind of digital image correction method of the pseudo color pixel, which is used to correct the pseudo color pixel to a color correction process through the array generated, wherein the false color processing method comprising the steps of: obtaining an original image, using an array so that the original image color correction color correction processing to generate a processed image; according to a comparison of the color of the original image and the difference between the processed image pixel, the processed image to identify a pseudo color pixel; and the raw image and the pseudo color pixel according to the position of the image corresponding to the processed color correction formula: Pixelimg3 = m * Pixelimgl + n * Pixelimg2 wherein, Pixelimg1 for the original image pixels; Pixelimg2 for the pixels of the image have been processed; Pixelimg3 into an output pixel; m + n = 1, m≥0, n≥0; m and n are values ​​obtained in accordance with a value look up table, m corresponding to the value of an original image, n values ​​corresponding to the processed image.
  2. 2.根据权利要求1所述的对数字图像中伪色像素的校正方法,其特征在于,该颜色校正阵列为一3*3像素大小的阵列,并从该原始图像中选择相应大小的像素阵列与该颜色校正阵列进行颜色校正处理。 The correction method of the pseudo color pixel in a digital image according to claim 1, wherein the color correction array is a 3 * 3 array of pixel size, and select the size of the original image from pixel array color correction and the color correction array.
  3. 3.根据权利要求1所述的对数字图像中伪色像素的校正方法,其特征在于,该颜色校正阵列为一4*3像素大小的阵列,并从该原始图像中选择相应大小的像素阵列与该颜色校正阵列进行颜色校正处理。 The correction method of the pseudo color pixel in a digital image according to claim 1, wherein the color correction array is a 4 * 3 array of pixel size, and select the appropriate size of the pixel array from the original image color correction and the color correction array.
  4. 4.根据权利要求1所述的对数字图像中伪色像素的校正方法,其特征在于,生成该已处理图像还包括以下步骤:依据该颜色校正阵列的大小,分别且不重叠的对该原始图像选取出相应大小的像素阵列进行该颜色校正阵列运算。 The correction method of the pseudo color pixel in a digital image according to claim 1, wherein generating the processed image further comprising the step of: color correction according to the size of the array, respectively, the original non-overlapping select the image size corresponding to the pixel array is an array of the color correction operation.
  5. 5.根据权利要求1所述的对数字图像中伪色像素的校正方法,其特征在于,该原始图像与该已处理图像的颜色差异根据图形颜色色域所决定。 The correction method of the pseudo color pixel in a digital image according to claim 1, wherein the difference between the original color image and the processed image according to the pattern determined color gamut.
  6. 6.根据权利要求5所述的对数字图像中伪色像素的校正方法,其特征在于,执行该颜色校正处理中,还包括下列步骤:将该已处理图像的像素生成相应的一红色像素、一绿色像素与一蓝色像素; 将该红色像素进行该颜色校正处理; 将该绿色像素进行该颜色校正处理;以及将该蓝色像素进行该颜色校正处理。 The correction method of the pseudo color pixel in a digital image as claimed in claim 5, wherein, performing the color correction process, further comprising the steps of: processing the pixels of the image are generated corresponding to a red pixel, a green pixel and a blue pixel; the red pixel of the color correction processing; the green pixel of the color correction processing; and the blue pixel for the color correction processing.
  7. 7.根据权利要求1所述的对数字图像中伪色像素的校正方法,其特征在于,该原始图像与该已处理图像的颜色差异根据电视系统颜色色域所决定。 The correction method of the pseudo color pixel in a digital image according to claim 1, wherein the difference between the original color image and the processed image according to the determined television system color gamut.
  8. 8.根据权利要求7所述的对数字图像中伪色像素的校正方法,其特征在于,执行该颜色校正处理中,还包括下列步骤:将该已处理图像的像素生成相应的一亮度分量、一蓝色色度分量与一红色色度分量; 将该亮度分量进行该颜色校正处理; 将该蓝色色度分量进行该颜色校正处理;以及将该红色色度分量进行该颜色校正处理。 8. A method of correcting the pseudo color pixel a digital image according to claim 7, wherein execution of the color correction process, further comprising the steps of: processing the pixels of the image are generated corresponding to a luminance component, a blue chrominance component and a red chrominance component; the luminance component of the color correction processing; the blue chrominance component for the color correction processing; and the red chrominance component for the color correction process.
  9. 9.根据权利要求1所述的对数字图像中伪色像素的校正方法,其特征在于,该颜色校正处理根据一查找表,根据该原始图像与已处理图像之间的像素颜色差异度,查找出相应该原始图像的m值与相应该已处理图像的η值。 9. The method of correcting the pseudo color pixel a digital image according to claim 1, wherein the color correction processing according to a lookup table, according to the pixel of the color difference between the original image and the processed image, find the phase should the original image and the m value should η values ​​of the processed image.
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