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    • 16. 发明授权
    • Method and apparatus for determining a color correction matrix by minimizing a color difference maximum or average value
    • 通过使色差最大值或平均值最小化来确定颜色校正矩阵的方法和装置
    • US07265781B2
    • 2007-09-04
    • US10225537
    • 2002-08-22
    • Takafumi Noguchi
    • Takafumi Noguchi
    • H04N5/228H04N9/73G06K9/00G06K15/00
    • H04N9/735
    • Color correction matrix determining method and apparatus and image photographing method and apparatus are used in a color processing system that converts input image data into output image data and has two color correction matrixes that are a first matrix and a second matrix, with a white balance correction circuit being sandwiched between the first matrix and the second matrix. The color correction matrix determining method and apparatus input a light source range and determines the first matrix based on this inputted light source range on the occasion of determining the color correction matrix in the color processing system. The image photographing method and apparatus discriminates a photographing light source range and determines the first matrix based on the discriminated photographing light source range.
    • 颜色校正矩阵确定方法和装置以及图像拍摄方法和装置用于将输入图像数据转换为输出图像数据并具有作为第一矩阵和第二矩阵的两个颜色校正矩阵的颜色处理系统,其具有白平衡校正 电路夹在第一矩阵和第二矩阵之间。 颜色校正矩阵确定方法和装置输入光源范围,并且在确定颜色处理系统中的色彩校正矩阵的情况下,基于该输入的光源范围来确定第一矩阵。 图像拍摄方法和装置鉴别拍摄光源范围,并基于鉴别的拍摄光源范围来确定第一矩阵。
    • 18. 发明授权
    • Image correction method, image correction device, and recording medium
    • 图像校正方法,图像校正装置和记录介质
    • US06856429B1
    • 2005-02-15
    • US09339222
    • 1999-06-24
    • Takafumi NoguchiYoshiya Ohara
    • Takafumi NoguchiYoshiya Ohara
    • H04N9/64G06T5/00H04N1/46H04N1/48H04N1/56H04N1/60H04N9/69
    • H04N1/6027
    • Color correction and density correction are performed on an image without changing the gradation of an image. When color correction and density correction are performed on image data whose values for each R, G, B component color (each channel) of each pixel are coded according to predetermined characteristics, the image data is sampled and correction values are calculated. The image data is then converted (104) to image receptor reflectivity data (r, g, b) (converted to values whose relationship with the light intensity values of each pixel is linear). The image data is then further converted to tristimulus values data (X, Y, Z) and color correction and density correction are carried out. The tristimulus values data after correction (X′, Y′, Z′) is then converted to image receptor reflectivity data (r′, g′, b′) and then to image data (R′, G′, B′). Accordingly, color and density corrected image data can be obtained without the gradation of the image being changed.
    • 对图像进行色彩校正和浓度校正,而不改变图像的灰度。 当对根据预定特性对每个像素的每个R,G,B分量颜色(每个通道)的值进行编码的图像数据执行颜色校正和浓度校正时,对图像数据进行采样并校正校正值。 然后将图像数据(104)转换成图像受体反射率数据(r,g,b)(转换为与每个像素的光强度值的关系为线性关系的值)。 然后将图像数据进一步转换为三刺激值数据(X,Y,Z),并进行颜色校正和密度校正。 然后将修正后的三刺激值数据(X',Y',Z')转换成图像受体反射率数据(r',g',b'),然后转换成图像数据(R',G',B')。 因此,可以在不改变图像的灰度的情况下获得颜色和浓度校正图像数据。