Just-noticeable distortion estimation for images

In this thesis, the typical perception properties of the HVS and implement them inside a scheme to estimate just-noticeable distortion (JND) threshold.

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Bibliographic Details
Main Author: Zhang, Xiaohui
Other Authors: Xue, Ping
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/4003
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-40032023-07-04T16:41:13Z Just-noticeable distortion estimation for images Zhang, Xiaohui Xue, Ping School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems In this thesis, the typical perception properties of the HVS and implement them inside a scheme to estimate just-noticeable distortion (JND) threshold. Master of Engineering 2008-09-17T09:42:14Z 2008-09-17T09:42:14Z 2004 2004 Thesis http://hdl.handle.net/10356/4003 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Zhang, Xiaohui
Just-noticeable distortion estimation for images
description In this thesis, the typical perception properties of the HVS and implement them inside a scheme to estimate just-noticeable distortion (JND) threshold.
author2 Xue, Ping
author_facet Xue, Ping
Zhang, Xiaohui
format Theses and Dissertations
author Zhang, Xiaohui
author_sort Zhang, Xiaohui
title Just-noticeable distortion estimation for images
title_short Just-noticeable distortion estimation for images
title_full Just-noticeable distortion estimation for images
title_fullStr Just-noticeable distortion estimation for images
title_full_unstemmed Just-noticeable distortion estimation for images
title_sort just-noticeable distortion estimation for images
publishDate 2008
url http://hdl.handle.net/10356/4003
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