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Image Quality and System Performance XIII Interactive Papers Session
Volume: 28 | Article ID: art00029
Noise-Free Rule-Based Fuzzy Image Enhancement
  DOI :  10.2352/ISSN.2470-1173.2016.13.IQSP-225  Published OnlineFebruary 2016

Different kinds of noises have considerable effects on most of image sensing systems. Suitable image contrast enhancement algorithms can improve contrast or retain detail information while reducing noises as well. Fuzzy representation of an image provides a reliable analysis when inexactness occurred at the gray level values. This paper presents a fuzzy-based novel image contrast enhancement method. Several image quality indices, such as similarity, naturalness, and mean brightness preserving examined and experimentally show the effectiveness of the proposed technique in comparison with well-known image enhancement methods such as histogram equalization and contrast limited adaptive histogram equalization methods.

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Mehdi Roopaei, Morad Khosravi Eghbal, Mehdi Shadaram, Sos Agaian, "Noise-Free Rule-Based Fuzzy Image Enhancementin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance XIII,  2016,

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