Color Models for Image Decomposition

Abstract

Decomposing an image into components provides a method through which meaningful information can be extracted from an image. This work is a study of image decomposition techniques for color images. The decomposition of color images presents a new challenge since the choice of the color model has an effect on the resulting images. The color models are tested for both structure + noise and cartoon + texture decomposition. Numerical results demonstrate the behavior of the decomposition techniques for three different color models: RGB, HSI and CB