Matlab将图像恢复为原始颜色 [英] Matlab restoring the image to its original colors

问题描述

我过去曾问过，有人建议我使用MACBETH，但我没有足够的资金来支持它：/

I asked it in the past, someone suggested me to use MACBETH but I don't have enough money for having it :/

所以在我拍照之前，我添加了3个圆圈将图像放置在图像中：第一个圆为红色，RGB为[255 0 0]，第二个为绿色圆圈，RGB为[0 255 0]，第三个为蓝色[0 0 255]。因此，我可以看到每个像素平均值的变化，并通过此更改修复整个图像。

So before I photographed, I've added 3 circles to the image to be places in the image: the first circle is red with RGB of [255 0 0], the second is green circle with RGB of [0 255 0] and the third is blue [0 0 255]. Thus I can see the change about the pixels average of each of them and fix the whole image by this change.

我有每个圆的所有像素。我得到了像素的平均值，我得到了下一个东西：

I have all the pixels of each circle. I made average of the pixels and I got the next thing:

红色圆圈的所有包含像素的平均RGB是[243 15 26]。

The red circle's average RGB of its all contained pixels is [243 15 26].

绿色圆圈所有包含像素的平均RGB为[29 235 56]。

the green circle's average RGB of its all contained pixels is [29 235 56].

以及它所在的蓝色圆圈[ 14 33 250]。

and about the blue circle it is [14 33 250].

如何根据新的red\green\blue circles'RGB结果修复图像中每个像素的颜色？

how can I fix the colors of each pixel in the image by the result of the new red\green\blue circles' RGB?

推荐答案

如果您假设线性颜色映射，您可以构建一个描述原始颜色变化的线性系统，例如（0,0,255）观察到的颜色，例如。 （14,33,250）。

If you assume a linear color mapping, you can construct a linear system that describes the change from original colors, e.g. (0, 0, 255) to observed colors, eg. (14, 33, 250).

基本上，y = A * x，其中x是原始颜色，y是观察到的颜色，A是变换矩阵。

Basically, y = A*x, where x is the original colors, y is the observed colors, A is the transformation matrix.

计算A后，可以将其反转以获得从y到x所需的变换。然后，您可以对所有像素应用A ^（ - 1）进行线性颜色校正。

Once you calculated A, you can invert it to obtain the transform needed to go from y to x. You can then apply A^(-1) on all pixels for linear color correction.

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