Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/134217
Title: Some investigations on optimized Histogram modification methods Using evolutionary algorithms for Image contrast enhancement
Researcher: Babu P
Guide(s): Rajamani V
Keywords: algorithms
Histogram
Information and Communication engineering
University: Anna University
Completed Date: 01/12/2015
Abstract: Contrast enhancement has a crucial role to play in image processing newlineapplications like consumer electronics medical image analysis remote newlinesensing and scientific visualization The poor contrast found in an image or newlinevideo may be due to several reasons such as the substandard quality of the newlineimage acquisition devices unprofessional approach of the device operators newlineand hostile external conditions while the acquisition takes place These newlinereasons lead to lesser usage of the available dynamic range of intensities Due newlineto these above stated reasons the images and videos never display all newlineinformation in the picture which is captured On the contrary they come out newlinewith images that appear to be unnatural and washedout Contrast newlineenhancement aims to remove these problems in order to obtain a more newlinevisuallypleasing and or informative newline newline
Pagination: xxix, 168p.
URI: http://hdl.handle.net/10603/134217
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf7.3 kBAdobe PDFView/Open
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04_acknowledgement.pdf7.46 kBAdobe PDFView/Open
05_contents.pdf38.13 kBAdobe PDFView/Open
06_list of symbol.pdf28.15 kBAdobe PDFView/Open
07_chapter 1.pdf259.95 kBAdobe PDFView/Open
08_chapter 2.pdf351.72 kBAdobe PDFView/Open
09_chapter 3.pdf731.48 kBAdobe PDFView/Open
10_chapter 4.pdf1.3 MBAdobe PDFView/Open
11_chapter 5.pdf1.1 MBAdobe PDFView/Open
12_chapter 6.pdf1.03 MBAdobe PDFView/Open
13_chapter 7.pdf43.47 kBAdobe PDFView/Open
14_references.pdf613.14 kBAdobe PDFView/Open
15_publications.pdf20.58 kBAdobe PDFView/Open
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