Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24770
Title: New switching based order statistic Filters for the removal of impulse Noise in images
Researcher: Jayaraj, V
Guide(s): Vijaykumar, V R
Keywords: Information and communication engineering
over channels Noise removal
Statistic Filters
Upload Date: 8-Sep-2014
University: Anna University
Completed Date: 01-12-2011
Abstract: Images and videos are often corrupted by noise and degradations newlinedue to faulty communications or noisy channels or faulty camera in the newlinetransmission of images and videos over channels Noise removal is one of the newlinemost important and challenging tasks in signal and image processing newlineIn images high frequency components carry valuable information like newlineedges and fine details In the presence of impulse noise reasonable noise newlinesuppression can be achieved by nonlinear filters where linear filters will newlinesmear the edges while smoothing noise Linear filters fail in preserving edges newlinein images corrupted by non Gaussian noise Nonlinear filters are effective in newlinethe removal of non Gaussian noise with edge and fine detail preservation newlineOne of the most popular nonlinear filters for impulse noise removal is order newlinestatistic filters There are large numbers of nonlinear filters and their newlineextensions are under research The most commonly used order statistic filter newlineis median filter since it is easy to implement and removes impulse noise while newlinepreserving edges This thesis introduces some nonlinear filtering schemes newlinebased on order statistics New median based algorithms are proposed to newlineaddress problems in image denoising such as detection and removal of newlineimpulse noise without disturbing edges and fine details newline
Pagination: xxx, 176p.
URI: http://hdl.handle.net/10603/24770
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File18.65 kBAdobe PDFView/Open
02_certificate.pdf5.64 kBAdobe PDFView/Open
03_abstract.pdf31.41 kBAdobe PDFView/Open
04_acknowledgement.pdf5.94 kBAdobe PDFView/Open
05_content.pdf58.52 kBAdobe PDFView/Open
06_chapter 1.pdf200.98 kBAdobe PDFView/Open
07_chapter 2.pdf988.96 kBAdobe PDFView/Open
08_chapter 3.pdf2.73 MBAdobe PDFView/Open
09_chapter 4.pdf1.64 MBAdobe PDFView/Open
10_chapter 5.pdf1.55 MBAdobe PDFView/Open
11_chapter 6.pdf1.07 MBAdobe PDFView/Open
12_chapter 7.pdf14.88 kBAdobe PDFView/Open
13_reference.pdf64.01 kBAdobe PDFView/Open
14_publication.pdf6.47 kBAdobe PDFView/Open
15_vitae.pdf5.44 kBAdobe PDFView/Open


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