Removal of impulsive noise from highly corrupted color images

Mikhail G Mozerov; Vitaly Kober; Tae-sun Choi

doi:10.1117/12.503362

19 November 2003 Removal of impulsive noise from highly corrupted color images

Mikhail G Mozerov, Vitaly Kober, Tae-sun Choi

Proceedings Volume 5203, Applications of Digital Image Processing XXVI; (2003) https://doi.org/10.1117/12.503362
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

Nonlinear vector median filters (VMF) and their variants represents one of the most popular approaches for color image processing. In this paper a novel effective method for detection and removal impulse noise in highly corrupted color images has been proposed. First, window operator based on an explicit use of spatial relations between color image elements to detect impulse noise is used. Then the spatially connected modification of VMF for removal of previously detected impulsive noise has been employed. The performance of the proposed detector and filter for detecting and suppressing of impulsive noise in test images is compared to conventional vector medium algorithms.

Citation Download Citation

Mikhail G Mozerov, Vitaly Kober, and Tae-sun Choi "Removal of impulsive noise from highly corrupted color images", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); https://doi.org/10.1117/12.503362

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KEYWORDS

Image filtering

Optical filters

Digital filtering

Nonlinear filtering

Sensors

RGB color model

Detection and tracking algorithms

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