MATLAB image processing _YUV and RGB color space of mutual transfer

RGB color Space

About the RGB color space, I believe that the image processing people are more familiar with, or say the R, G, b three components, each component accounted for 8 bits is a byte, three components Total is 3 bytes, that is, 24bit, three components can be combined with different colors, that is, 2^24 species.

So the number of colors that can be expressed is far beyond what we humans can recognize. Each RGB component is actually expressed as brightness, when the three are the same, degenerate into what we call grayscale, such as three components are 0, at this time is black, three components are 255 (8 bits can represent the maximum), this is white, the following picture can be more image description:

YUV Color Space

YUV Three component y means (brightness), U, V for chroma;

About the explanation of YUV look at the analysis in the following article, I will not repeat:

YUV Format detailed

The code is as follows:

% by scott% rgb2yuv% Y = 0.299R + 0.587G + 0.114B% U = -0.147r-0.289g + 0.436B% V = 0.615r-0.515g-0.100b% YUV2 rgb% R = y + 1.14V% G = y-0.39u-0.58v% B = y + 2.03Uclear ALL;CLC; RGB = Imread (' test.jpg '); Imshow (RGB); RGB = Mat2gray (RGB); R = RGB (:,:, 1); G = RGB (:,:, 2); B = RGB (:,:, 3), x = Size (rgb,1), y = size (rgb,2),% Rgb2yuvy = 0.299*r + 0.587*g + 0.114*b; U = -0.147*r-0.289*g + 0.436*b; V = 0.615*r-0.515*g-0.100*b; YUV = Cat (3, Y, U, V); Imshow (YUV);% YUV2RGBRGB1 = zeros (Size (RGB)); RGB1 (:,:, 1) = Y + 1.14 * V; RGB1 (:,:, 2) = Y-0.39 * U-0.58 * V; RGB1 (:,:, 3) = Y + 2.03 * u;figure; Imshow (RGB1)% after YUV to RGB, the image should same with original image.

The results of the operation are as follows:

RGB Space before conversion

YUV Space after conversion

Revert to RGB

MATLAB image processing _YUV and RGB color space of mutual transfer