Order statistics vector directional filters to process multichannel images

Volodymyr I. Ponomaryov; Alberto J. Rosales; Francisco Gallegos-Funes

doi:10.1117/12.689289

29 September 2006 Order statistics vector directional filters to process multichannel images

Volodymyr I. Ponomaryov, Alberto J. Rosales, Francisco Gallegos-Funes

Proceedings Volume 6365, Image and Signal Processing for Remote Sensing XII; 636505 (2006) https://doi.org/10.1117/12.689289
Event: SPIE Remote Sensing, 2006, Stockholm, Sweden

Abstract

Novel algorithms to suppress impulsive noise in 3D color images are presented. Some of them have demonstrated effectiveness in preservation of inherent characteristics in the images, such as, edges, details and chromaticity. Robust algorithm that uses order statistics, vector directional and adaptive methods is developed applying three-dimensional video processing permitting suppressing a noise. Several algorithms are extended from 2D to 3D for video processing. The results show that proposed Video Adaptive Vector Directional filter outperforms the video versions of Median M-type K-Nearest Neighbour, Vector Median, Generalized Vector Directional, K-Nearest Neighbour, α-trimmed Mean, and Median filters. All of them evaluated during simulation using PSNR, MAE and NCD criteria.

Citation Download Citation

Volodymyr I. Ponomaryov, Alberto J. Rosales, and Francisco Gallegos-Funes "Order statistics vector directional filters to process multichannel images", Proc. SPIE 6365, Image and Signal Processing for Remote Sensing XII, 636505 (29 September 2006); https://doi.org/10.1117/12.689289

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