Abstract
Two effective algorithms for the removal of impulse noise from color images are proposed. The algorithms consist of two steps. The first algorithm detects outliers with the help of spatial relations between the components of a color image. Next, the detected noise pixels are replaced with the output of a vector median filter over a local spatially connected area excluding the outliers, while noise-free pixels are left unaltered. The second algorithm transforms a color image to the YCbCr color space that perfectly separates the intensity and color information. Then outliers are detected using spatial relations between transformed image components. The detected noise pixels are replaced with the output of a modified vector median filter over a spatially connected area. Simulation results in test color images show a superior performance of the proposed algorithms compared with the conventional vector median filter. The comparisons are made using the mean square error, the mean absolute error, and a subjective human visual error criterion.
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Vitaly Kober obtained his MS degree in applied mathematics from the Air-Space University of Samara (Russia) in 1984, and his PhD degree in 1992 and Doctor of Sciences degree in 2004 in image processing from the Institute of Information Transmission Problems, Russian Academy of Sciences. Now he is a titular researcher at the Centre de Investigación Cientifica y de Educacion Superior de Ensenada (Cicese), México. His research interests include signal and image processing, pattern recognition.
Mikhail Mozerov received his MS degree in physics from Moscow State University in 1982 and his PhD degree in image processing from the Institute of Information Transmission Problems, Russian Academy of Sciences, in 1995. He works at the Laboratory of Digital Optics of the Institute of Information Transmission Problems, Russian Academy of Sciences. His research interests include signal and image processing, pattern recognition, digital holography.
Alvarez-Borrego Josué obtained his MS degree in optics from the Centro de Investigatión Científica y de Educatión Superior de Ensenada (Cicese), México, in 1983, and his PhD degree in optics from the Cicese in 1993. He is a titular researcher at the Cicese. His research interests include image processing and pattern recognition applied to study marine surfaces, statistical and biogenic particles. He has more than 25 scientific papers.
Iosif A. Ovseyevich graduated from the Moscow Electrotechnical Institute of Telecommunications. Received candidate’s degree in 1953 and doctoral degree in information theory in 1972. At present, he is Emeritus Professor at the Institute of Information Transmission Problems of the Russian Academy of Sciences. His research interests include information theory, signal processing, and expert systems. He is a Member of IEEE, Popov Radio Society.
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Kober, V., Mozerov, M., Álvarez-Borrego, J. et al. Algorithms for impulse noise removal from corrupted color images. Pattern Recognit. Image Anal. 17, 125–130 (2007). https://doi.org/10.1134/S1054661807010142
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DOI: https://doi.org/10.1134/S1054661807010142