Development of regularized adaptive blind image restoration algorithm for color images
99 p.
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2010
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sg-ntu-dr.10356-391262023-07-04T15:25:43Z Development of regularized adaptive blind image restoration algorithm for color images U Ko Ko Yap Kim Hui School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation 99 p. The world is transforming towards a global information era and the variety of Image Processing applications are emerging rapidly. The increasing usage of imaging systems in scientific, military, industrial, medical, and commercial environments, are some of the factors driving this expansion. Most of the imaging systems are imperfect and unavoidably introduce a certain degree of blur and random noise during the process of acquisition and transmission. Blind Image Restoration seeks to recover the true image by operating mathematically on the given degraded image without sufficient information about the blurring function. Master of Science (Signal Processing) 2010-05-21T04:44:46Z 2010-05-21T04:44:46Z 2006 2006 Thesis http://hdl.handle.net/10356/39126 application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation U Ko Ko Development of regularized adaptive blind image restoration algorithm for color images |
description |
99 p. |
author2 |
Yap Kim Hui |
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Yap Kim Hui U Ko Ko |
format |
Theses and Dissertations |
author |
U Ko Ko |
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U Ko Ko |
title |
Development of regularized adaptive blind image restoration algorithm for color images |
title_short |
Development of regularized adaptive blind image restoration algorithm for color images |
title_full |
Development of regularized adaptive blind image restoration algorithm for color images |
title_fullStr |
Development of regularized adaptive blind image restoration algorithm for color images |
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Development of regularized adaptive blind image restoration algorithm for color images |
title_sort |
development of regularized adaptive blind image restoration algorithm for color images |
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2010 |
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http://hdl.handle.net/10356/39126 |
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1772828277899001856 |