Summary

2007 International Symposium on Nonlinear Theory and its Applications

2007

Session Number:19AM2-C

Session:

Number:19AM2-C-1

An Improvement Method of PAV Filters for the Removal of Impulse Noise from Highly Corrupted Images

Yoshihiro KITAURA,  Masaaki TERANISHI,  Mitsuji MUNEYASU,  

pp.433-436

Publication Date:2007/9/16

Online ISSN:2188-5079

DOI:10.34385/proc.41.19AM2-C-1

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Summary:
This paper proposes an improvement method for Peak-and-Valley (PAV) filters for the impulse noise reduction. The PAV filter has no parameter and the good performance for a low corrupted image. However the performance for a highly corrupted image is unsatisfactory. In this paper, the processing directions of the PAV filter are reconsidered for the improvement of the noise reduction performance for the highly corrupted image. The proposed method has no parameter to be adjusted and less processing time than that of progressive switching median (PSM) filters. Simulation results show almost the same performance with the PSM filters.