No-reference objective quality assessment and enhancement for compressed images and videos

This thesis proposes new and effective methods to assess the objective quality of compressed digital images and videos, and to enhance the reconstruction quality of them using multiple compressed copies. Digital images and videos are shared over the Internet by millions of users everyday. Such conte...

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Main Author: Yang, Gao
Other Authors: Tan Yap Peng
Format: Theses and Dissertations
Language:English
Published: 2011
Subjects:
Online Access:https://hdl.handle.net/10356/44824
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-448242023-07-04T16:54:29Z No-reference objective quality assessment and enhancement for compressed images and videos Yang, Gao Tan Yap Peng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing This thesis proposes new and effective methods to assess the objective quality of compressed digital images and videos, and to enhance the reconstruction quality of them using multiple compressed copies. Digital images and videos are shared over the Internet by millions of users everyday. Such contents are usually highly compressed for efficient transmission at the expense of fidelity. The end users may want to know the quality of these images and videos after lossy compression, should she wish to archive or further process them. There may also be several differently compressed copies of the same content residing at different locations on the web. The end user may like to compare the quality between them so as to pick the best one, or even generating a “super copy” with image quality superior to any of the copies available. DOCTOR OF PHILOSOPHY (EEE) 2011-06-06T03:13:52Z 2011-06-06T03:13:52Z 2011 2011 Thesis Yang, G. (2011). No-reference objective quality assessment and enhancement for compressed images and videos. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/44824 10.32657/10356/44824 en 158 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Yang, Gao
No-reference objective quality assessment and enhancement for compressed images and videos
description This thesis proposes new and effective methods to assess the objective quality of compressed digital images and videos, and to enhance the reconstruction quality of them using multiple compressed copies. Digital images and videos are shared over the Internet by millions of users everyday. Such contents are usually highly compressed for efficient transmission at the expense of fidelity. The end users may want to know the quality of these images and videos after lossy compression, should she wish to archive or further process them. There may also be several differently compressed copies of the same content residing at different locations on the web. The end user may like to compare the quality between them so as to pick the best one, or even generating a “super copy” with image quality superior to any of the copies available.
author2 Tan Yap Peng
author_facet Tan Yap Peng
Yang, Gao
format Theses and Dissertations
author Yang, Gao
author_sort Yang, Gao
title No-reference objective quality assessment and enhancement for compressed images and videos
title_short No-reference objective quality assessment and enhancement for compressed images and videos
title_full No-reference objective quality assessment and enhancement for compressed images and videos
title_fullStr No-reference objective quality assessment and enhancement for compressed images and videos
title_full_unstemmed No-reference objective quality assessment and enhancement for compressed images and videos
title_sort no-reference objective quality assessment and enhancement for compressed images and videos
publishDate 2011
url https://hdl.handle.net/10356/44824
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