ABSTRACT
This chapter discusses the need of preprocessing of color images in the field of Deep Learning. Color image processing includes pseudo color and full color or true color processing. In the full color, or true color image preprocessing, the actual color of the image is considered. In some cases, color image processing can be more convenient in a particular color model while less convenient in some other color model. Color complement is a preprocessing transformation, which can be done in true color image. Color slicing is the next preprocessing transformation that can be applied to the true color or full color image. Color slicing is used to highlight a certain color range in an image, and thus it is useful to find an object of a certain color in an image. The next type of preprocessing transformation of the color image is tone correction. This is again analogous with the intensity enhancement, or contrast enhancement, of the grayscale image.
