Application of (alpha,beta)-trimmed mean filtering for removal of additive noise from images
Yuri B. Rytsar, Iryna B. Ivasenko · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1997
This paper is concerned with algorithms for removal additive noise from images. The proposed ((alpha) -(beta) )-trimmed mean filtering is suitable for application to real images corrupted by Gaussian, uniform and impulsive noise. The developed technique is a generalization of (alpha) -trimmed mean filter and have the same basic properties as rank- order filters. The actual performance of proposed technique was compared with that of average, median and midpoint filters and evaluate on noisy images by the error of restoration. The illustrative examples are given.