ABSTRACT
CONTENTS 12.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .445 12.2 Adaptive Noise Reduction Filtering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .448 12.3 Anisotropic Diffusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .453 12.4 Noise Reduction Filters for Color Image Processing . . . . . . . . . . . . . . . .460 12.5 Digital Paths Approach to Color Image Filtering . . . . . . . . . . . . . . . . . . .471 12.6 Efficiency of the New Filter Class . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .486 Acknowledgment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .498 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .499
The perception of color is of paramount importance to humans because they routinely use color features to sense the environment, recognize objects, and convey information. That is the reason why it is necessary to use color information for computer vision, because in many practical cases location of scene objects can be obtained only when color information is considered.1
