An adaptive random-valued impulse noise reduction method based on noise ratio estimation in highly corrupted images

Thou Ho Chen, Chao Yu Chen, Chin-Hsing Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a novel random-valued impulse-noise reduction method by adaptive edge-preserved median filtering, called AEPMF, with adaptive threshold and noise-ratio estimation. Generally, a pixel is always very similar to its horizontal and vertical neighbors and thus such a characteristic can be used to estimate the noise-ratio of a corrupted image for deriving appropriate thresholds. To substantially reduce noises, AEPMF uses iterative PSNR-checking strategy in which if the PSNR of the previously filtered image is lower than a threshold, next filtering process is executed. Experimental results manifest that the proposed AEPMF method is more robust and effective than other switching-based median jilters and achieves above 20% in average PSNR improvement rate when the corruption ratio is above 30%.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Pages523-526
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
Event3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, Taiwan
Duration: 2007 Nov 262007 Nov 28

Publication series

NameProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Volume2

Other

Other3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
CountryTaiwan
CityKaohsiung
Period07-11-2607-11-28

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management

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