Digital Signal Processing Reference
In-Depth Information
12
Nonlinear Techniques for Color
Image Proce ssing
Bogdan Smolka, Konstantinos N. Plataniotis,
and Anastasios N. Venetsanopoulos
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
12.1 Introduction
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 infor-
mation for computer vision, because in many practical cases location of scene
objects can be obtained only when color information is considered. 1
Noise filtering is one of the most important tasks in many image analy-
sis and computer vision applications. Its goal is the removal of unprofitable
information that may corrupt any of the subsequent image processing steps.
The reduction of noise in digital images without degradation of the un-
derlying image structures has attracted much interest in the last years. 2-8 Re-
cently, increasing attention has been given to nonlinear processing of vector-
valued signals. Many of the techniques used for color noise reduction are
direct implementations of the methods used for gray-scale imaging. The in-
dependent processing of color image channels is, however, inappropriate and
leads to strong artifacts. To overcome this problem, the standard techniques
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