Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/301889
Title: Study and analysis of wavelet based video coding techniques for enhancing the video quality
Researcher: Muthulakshmi K
Guide(s): Muthulakshmi K
Keywords: Video Coding Techniques
Wavelet Based
Enhancing the video quality
University: Anna University
Completed Date: 2019
Abstract: Communicating digital video over the network or wireless channels encounter problems such as transmitting poor quality of videos or information losses It is anticipated to have an efficient video coding model which can adapt to the channel conditions and provides an enhanced video quality The ideal solution to this problem is to compress and transfer the video sequence with efficiency In this research an efficient video coding model is introduced to offer high-quality video over the network In the first work the wavelet families such as Haar Coiflet CDF 9 7 Symlet and Spline wavelets are analyzed and experimented to identify the best wavelet to be applied for the proposed research approach newline
Pagination: xxvi,209 p.
URI: http://hdl.handle.net/10603/301889
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificates.pdf.pdf570.31 kBAdobe PDFView/Open
03_abstracts.pdf.pdf7.62 kBAdobe PDFView/Open
04_acknowledgements.pdf.pdf5.38 kBAdobe PDFView/Open
05_contents.pdf.pdf14.37 kBAdobe PDFView/Open
06_list_of_tables.pdf.pdf122.06 kBAdobe PDFView/Open
07_list_of_figures.pdf.pdf132.15 kBAdobe PDFView/Open
08_list_of_abbreviations.pdf.pdf279.52 kBAdobe PDFView/Open
09_chapter1.pdf.pdf627.36 kBAdobe PDFView/Open
10_chapter2.pdf.pdf711.75 kBAdobe PDFView/Open
11_chapter3.pdf.pdf1.22 MBAdobe PDFView/Open
12_chapter4.pdf.pdf1.4 MBAdobe PDFView/Open
13_chapter5.pdf.pdf786.35 kBAdobe PDFView/Open
14_chapter6.pdf.pdf458.34 kBAdobe PDFView/Open
15_conclusion.pdf.pdf31.15 kBAdobe PDFView/Open
16_references.pdf.pdf161.78 kBAdobe PDFView/Open
17_list_of_publications.pdf.pdf122.62 kBAdobe PDFView/Open
80_recommendation.pdf183.05 kBAdobe PDFView/Open
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