Enhancement of salt-and-pepper noise corrupted images using fuzzy filter design

Yung Yue Chen, Ching Ta Lu, Pei Yu Chang

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


This investigation presents a fuzzy filtering method for the removal of salt-and-pepper noise of a corrupted image which is caused by the corruption of impulse noise in the record or transmission process. This fuzzy filtering method comprise with a size adjustable local window which is used to analyze each extreme pixel (0 or 255 for an 8 bits gray-level image) and a fuzzy smoother which can interpolate non-extreme values inside the local window to construct a noiseless center pixel. By the help of the proposed fuzzy filtering method, the center pixel with an extreme value is replaced by the fuzzy interpolation value and enables noisy pixels to be restored smoothly and continuously. From the tough tests, experimental results reveal the fact that salt-and-pepper noises (only for known extreme values 0 and 255) of a corrupted image for different noise corruption densities (from 10 to 90%) can the efficiently removed via the universal interpolation ability of the proposed fuzzy filtering method; meanwhile, the denoised image is free from the blurred effect.

Original languageEnglish
Title of host publicationFrontier Computing - Theory, Technologies and Applications, FC 2016
EditorsNeil Y. Yen, Jason C. Hung
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9789811031861
Publication statusPublished - 2018
Event 5th International Conference on Frontier Computing, FC 2016 - Tokyo, Japan
Duration: 2016 Jul 132016 Jul 15

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Other 5th International Conference on Frontier Computing, FC 2016

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


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