Channel Separation

RGB Channel separation is the process in which we read the RGB channels separately.
Here is a input & output images for channel separation of three different type:-
1)First type is a simple channel separation in which we take R value for red channel,G value for green channel & B value for blue channel .For blue channel Blue put into the place of green & blue value for each pixel & then we get the blue channel separated image.This theory is applied respectively for red & green channel.

Input Image:-

Output Images:-

Red channel Image:-

Green Channel Image:-

Blue channel image:-

2)In second type of channel separation we take Blue value for blue channel,red value for red channel & green value for green channels & put 0 to the other value means we put 0 for red & green in blue channel.

here is the output images for same input image:-

 Output Images:-

Red channel Image:-       




Green Channel Image:-

Blue channel image:-

    

3)In third type of channel separation we create secondary colors from primary colors we use two of three to get a secondary colors.For Example we use blue & green color to create a cyan color image.Get a yellow                          color image with red & green .& magenta with red & blue colors.Here is the output images for  same input image.

Output Images:-

Magenta color Image:-

Cyan Color Image:-

Yellow Color Image:-