Brightness preserving dynamic fuzzy histogram equalization

This paper proposes a novel modification of the brightness preserving dynamic histogram equalization technique to improve its brightness preserving and contrast enhancement abilities while reducing its computational complexity. The modified technique, called Brightness Preserving Dynamic Fuzzy Histo...

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Veröffentlicht in:	IEEE transactions on consumer electronics 2010-11, Vol.56 (4), p.2475-2480
Hauptverfasser:	Sheet, D, Garud, H, Suveer, A, Mahadevappa, M, Chatterjee, J
Format:	Artikel
Sprache:	eng
Schlagworte:	Brightness Color Distortion measurement Dynamic range Equalization Fuzzy Fuzzy logic Fuzzy set theory Histograms Pixel Preserving
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creator	Sheet, D Garud, H Suveer, A Mahadevappa, M Chatterjee, J
description	This paper proposes a novel modification of the brightness preserving dynamic histogram equalization technique to improve its brightness preserving and contrast enhancement abilities while reducing its computational complexity. The modified technique, called Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE), uses fuzzy statistics of digital images for their representation and processing. Representation and processing of images in the fuzzy domain enables the technique to handle the inexactness of gray level values in a better way, resulting in improved performance. Execution time is dependent on image size and nature of the histogram, however experimental results show it to be faster as compared to the techniques compared here. The performance analysis of the BPDFHE along with that for BPDHE has been given for comparative evaluation.
doi_str_mv	10.1109/TCE.2010.5681130
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The modified technique, called Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE), uses fuzzy statistics of digital images for their representation and processing. Representation and processing of images in the fuzzy domain enables the technique to handle the inexactness of gray level values in a better way, resulting in improved performance. Execution time is dependent on image size and nature of the histogram, however experimental results show it to be faster as compared to the techniques compared here. 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The performance analysis of the BPDFHE along with that for BPDHE has been given for comparative evaluation.</description><subject>Brightness</subject><subject>Color</subject><subject>Distortion measurement</subject><subject>Dynamic range</subject><subject>Equalization</subject><subject>Fuzzy</subject><subject>Fuzzy logic</subject><subject>Fuzzy set theory</subject><subject>Histograms</subject><subject>Pixel</subject><subject>Preserving</subject><issn>0098-3063</issn><issn>1558-4127</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkD1PwzAQhi0EEqWwI7FELEwp59hObDaoyodUiaXMluucW1dp0toJUvvrSdXCwHR6dc97Oj2E3FIYUQrqcTaejDLok8glpQzOyIAKIVNOs-KcDACUTBnk7JJcxbgCoFxkckCeXoJfLNsaY0w2ASOGb18vknJXm7W3iev2-12y9LFtFsGsE9x2pvJ70_qmviYXzlQRb05zSL5eJ7Pxezr9fPsYP09Ty3LVpmhLKUqKUBoFZs6UMlIaWzia5Q5yKVBR4UrglllnJS0zjg5xzqzhai4ZG5KH491NaLYdxlavfbRYVabGpota5lQwLgvRk_f_yFXThbp_TktW5AUX_ADBEbKhiTGg05vg1ybsNAV9UKl7lfqgUp9U9pW7Y8Uj4h_-u_0BPoZwUA</recordid><startdate>201011</startdate><enddate>201011</enddate><creator>Sheet, D</creator><creator>Garud, H</creator><creator>Suveer, A</creator><creator>Mahadevappa, M</creator><creator>Chatterjee, J</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The modified technique, called Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE), uses fuzzy statistics of digital images for their representation and processing. Representation and processing of images in the fuzzy domain enables the technique to handle the inexactness of gray level values in a better way, resulting in improved performance. Execution time is dependent on image size and nature of the histogram, however experimental results show it to be faster as compared to the techniques compared here. The performance analysis of the BPDFHE along with that for BPDHE has been given for comparative evaluation.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCE.2010.5681130</doi><tpages>6</tpages></addata></record>
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subjects	Brightness Color Distortion measurement Dynamic range Equalization Fuzzy Fuzzy logic Fuzzy set theory Histograms Pixel Preserving
title	Brightness preserving dynamic fuzzy histogram equalization
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