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

Yung-Yu Chen, Ching Ta Lu, Pei Yu Chang

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題Frontier Computing - Theory, Technologies and Applications, FC 2016
編輯Neil Y. Yen, Jason C. Hung
發行者Springer Verlag
頁面691-701
頁數11
ISBN(列印)9789811031861
DOIs
出版狀態Published - 2018 一月 1
事件 5th International Conference on Frontier Computing, FC 2016 - Tokyo, Japan
持續時間: 2016 七月 132016 七月 15

出版系列

名字Lecture Notes in Electrical Engineering
422
ISSN(列印)1876-1100
ISSN(電子)1876-1119

Other

Other 5th International Conference on Frontier Computing, FC 2016
國家Japan
城市Tokyo
期間16-07-1316-07-15

指紋

Fuzzy filters
Pixels
Salts
Interpolation
Impulse noise

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

引用此文

Chen, Y-Y., Lu, C. T., & Chang, P. Y. (2018). Enhancement of salt-and-pepper noise corrupted images using fuzzy filter design. 於 N. Y. Yen, & J. C. Hung (編輯), Frontier Computing - Theory, Technologies and Applications, FC 2016 (頁 691-701). (Lecture Notes in Electrical Engineering; 卷 422). Springer Verlag. https://doi.org/10.1007/978-981-10-3187-8_65
Chen, Yung-Yu ; Lu, Ching Ta ; Chang, Pei Yu. / Enhancement of salt-and-pepper noise corrupted images using fuzzy filter design. Frontier Computing - Theory, Technologies and Applications, FC 2016. 編輯 / Neil Y. Yen ; Jason C. Hung. Springer Verlag, 2018. 頁 691-701 (Lecture Notes in Electrical Engineering).
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abstract = "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.",
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Chen, Y-Y, Lu, CT & Chang, PY 2018, Enhancement of salt-and-pepper noise corrupted images using fuzzy filter design. 於 NY Yen & JC Hung (編輯), Frontier Computing - Theory, Technologies and Applications, FC 2016. Lecture Notes in Electrical Engineering, 卷 422, Springer Verlag, 頁 691-701, 5th International Conference on Frontier Computing, FC 2016, Tokyo, Japan, 16-07-13. https://doi.org/10.1007/978-981-10-3187-8_65

Enhancement of salt-and-pepper noise corrupted images using fuzzy filter design. / Chen, Yung-Yu; Lu, Ching Ta; Chang, Pei Yu.

Frontier Computing - Theory, Technologies and Applications, FC 2016. 編輯 / Neil Y. Yen; Jason C. Hung. Springer Verlag, 2018. p. 691-701 (Lecture Notes in Electrical Engineering; 卷 422).

研究成果: Conference contribution

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Chen Y-Y, Lu CT, Chang PY. Enhancement of salt-and-pepper noise corrupted images using fuzzy filter design. 於 Yen NY, Hung JC, 編輯, Frontier Computing - Theory, Technologies and Applications, FC 2016. Springer Verlag. 2018. p. 691-701. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-981-10-3187-8_65