Paper
28 May 2004 Impulsive noise suppression and analysis in color imaging
Author Affiliations +
Proceedings Volume 5298, Image Processing: Algorithms and Systems III; (2004) https://doi.org/10.1117/12.526833
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
We present the analysis and simulation results for some modifications of the vectorial color imaging procedures those use at the second stage of magnitude processing the different order statistics filters. The technique of non-parametric filtering is presented and investigated in this paper too. For unknown functional form of noise density estimated from the observations we use the gray scalar filters to provide the reference vectors needed to realize the calculations. The performances of the traditional order statistics algorithms such as, median, Vector Median, alfa-trimmed mean, Wilcoxon, other order statistics M KNN are analyzed in the paper. For comparison analysis of the color imaging we use the following criterions: MAE; PSNR; MCRE; NCD Numerous simulation results which characterize the impulsive noise suppression and fine detail preservation are presented in the paper using different test images) such as: Lena, Mandrill, Peppers, etc. (256x256, 24 bits, RGB space). The algorithms those demonstrated good performance results have been applied to process the video sequences: “Miss America”, “Flowers” and Foreman” corrupted by impulsive noise. The results of the simulations presented in the paper show differences in color imaging by mentioned filtering technique and help to choose the filter that can satisfy to several criterion at dependence on noise level value.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Volodymyr I. Ponomaryov, Alberto J. Rosales, Francisco Gallegos Funes, and Francisco Gomeztagle "Impulsive noise suppression and analysis in color imaging", Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); https://doi.org/10.1117/12.526833
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Cited by 2 scholarly publications.
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KEYWORDS
Image filtering

Digital filtering

Optical filters

Image processing

Color imaging

Statistical analysis

Color image processing

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