1. IMPROVED SWITCHING MEDIAN FILTER FOR IMPULSE NOISE REMOVAL Denis K. Kuykin, Vladimir V. Khryashchev, Ilya V. Apalkov e-mail: connect@piclab.ru P.G. Demidov Yaroslavl State University Digital Circuits and Signals Laboratory
19. Random Valued Impulse Noise Model - corrupted image pixel values - original image pixel values - noise density - uniformly distributed random value
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21. Random Valued Impulse Noise Detectors Comparison miss – number of corrupted pixels missed by detector false-hit – number of noise-free pixels marked by detector as corrupted 6749 10962 5119 7257 4501 3523 SDROM 2110 14351 1553 8134 1514 3372 ACWM 6715 10396 4217 8607 2212 5216 DWM false- hit miss false- hit miss false- hit miss 30% 20% 10% p
22. Proposed MPSM Algorithm for Random Valued Impulse Noise Removal (noise detector) noise detection result − input corrupted image − binary matrix
23. Proposed MPSM Algorithm for Random Valued Impulse Noise Removal (filtration procedure) restored image
27. More… The MPSM algorithm for random valued impulse noise removal is described in more details in the paper: D. Kuykin, V. Khryashchev, A. Priorov. DETECTION AND RESTORATION OF RANDOM-VALUED IMPULSE NOISE CORRUPTED PIXELS which was submitted to participate in The 2009 International Workshop on Local and Non-Local Approximation in Image Processing (LNLA’2009) Also this paper, MatLab code and all results can be downloaded from http :// www.piclab.ru / research / mpsm.html
28. PICLAB (www.piclab.ru) PICLAB – is the advanced tool for image restoration and research of image processing algorithms