ABSTRACT
Over the past two decades, color image processing has become a daily necessity in practical life. Color is essential in human perception and provides important information for both human observers and data processing machines in various digital imaging, multimedia, computer vision, graphics, and biomedical applications. Unfortunately, images are often corrupted by noise, which can significantly degrade the value of the conveyed visual information, decrease the perceptual fidelity, and complicate various image processing and analysis tasks. Therefore, noise filtering — the process of rectifying signal disturbances in order to produce an image that corresponds as closely as possible to the output of an ideal imaging system — is needed.
