A new method for adaptive color image filtering

An adaptive color image filter (ACIF) is proposed in this note. Through analyzing noise corruption of color image, efficient locally adaptive filters are chosen for image enhancement. The proposed adaptive color image filter combines advantages of both nonlinear vector filters and linear filters, it...

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Bibliographic Details
Published inChinese science bulletin Vol. 45; no. 13; pp. 1230 - 1235
Main Authors Jiang, Gangyi, Yu, Mei, Yu, Bokang
Format Journal Article
LanguageEnglish
Published Beijing Springer Nature B.V 01.07.2000
Department.of Information & Electronic Engineering, Hangzhou University of Commerce, Hangzhou 310035, China
State Key Laboratory on Machine Perception, Peking University, Beijing 100871, China%Department.of Electronic Engineering, Hangzhou Institute of Electronics Engineering, Hangzhou 310037, China
Subjects
Adaptive filters
Color
Color imagery
Corruption
Filters
Image enhancement
Image filters
Image processing
Linear filters
Nearest-neighbor
color image
locally adaptive filters
adaptive color image filter (ACIF)
noise analysis
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Summary:An adaptive color image filter (ACIF) is proposed in this note. Through analyzing noise corruption of color image, efficient locally adaptive filters are chosen for image enhancement. The proposed adaptive color image filter combines advantages of both nonlinear vector filters and linear filters, it attenuates noise and preserves edges and details very well. Experimental results show that the proposed filter performs better than vector median filter, directional-distance filter, directional-magnitude vector filter, adaptive nearest-neighbor filter, and a-trimmed mean filter.
ISSN:1001-6538
2095-9273
1861-9541
2095-9281
DOI:10.1007/BF02886086