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Enhancement of iterative back projection technique for super resolution image

Doctor of Philosophy in Computer Engineering

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Bibliographic Details
Main Author: Amir Nazren, Abdul Rahim
Other Authors: Shahrul Nizam, Yaakob, Assoc. Prof. Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2018
Subjects:
High resolution imaging
Image processing > Digital techniques
Image processing > Digital techniques > Mathematics
Image processing > Mathematics
Iterative Back Projection (IBP)
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72421
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id my.unimap-72421
record_format dspace
spelling my.unimap-724212023-03-06T04:47:49Z Enhancement of iterative back projection technique for super resolution image Amir Nazren, Abdul Rahim Shahrul Nizam, Yaakob, Assoc. Prof. Dr. High resolution imaging Image processing -- Digital techniques Image processing -- Digital techniques -- Mathematics Image processing -- Mathematics Iterative Back Projection (IBP) Doctor of Philosophy in Computer Engineering This study concerns in on improvements of the Iterative Back Projection (IBP) Super Resolution reconstruction technique. This technique suffers from self produces the ringing artefacts around the strong edge of the image and consumes a large number of iterations during the estimation process. Besides that, this technique has poor performances during handling the noisy image. In order to reduce the ringing artefacts, this thesis proposes a novel approach of the IBP reconstruction by hybrid with the edge enhancement regularization. First, the regulator uses the Sharp Infinite Symmetrical Exponential Filter (SISEF) to provide an accurate and precise edge guided during back projection to High Resolution (HR) grid. This precise edge guided prevents the IBP reconstruction from dislocating the HR projection. Thus, it reduces the ringing artefacts and increases the output quality averagely up to 1.755 dB. This SISEF regulator supplies accurate additional information and helps the estimator to save 70% iterations from conventional technique in determining the HR image. Second, in order to increase the robustness of IBP reconstruction, this study proposes an improvement with implementation of the Lorentzian Sharp Infinite Symmetrical Exponential Filter (LSISEF) regulations. 2018 2021-10-13T07:23:49Z 2021-10-13T07:23:49Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72421 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic High resolution imaging
Image processing -- Digital techniques
Image processing -- Digital techniques -- Mathematics
Image processing -- Mathematics
Iterative Back Projection (IBP)
spellingShingle High resolution imaging
Image processing -- Digital techniques
Image processing -- Digital techniques -- Mathematics
Image processing -- Mathematics
Iterative Back Projection (IBP)
Amir Nazren, Abdul Rahim
Enhancement of iterative back projection technique for super resolution image
description Doctor of Philosophy in Computer Engineering
author2 Shahrul Nizam, Yaakob, Assoc. Prof. Dr.
author_facet Shahrul Nizam, Yaakob, Assoc. Prof. Dr.
Amir Nazren, Abdul Rahim
format Thesis
author Amir Nazren, Abdul Rahim
author_sort Amir Nazren, Abdul Rahim
title Enhancement of iterative back projection technique for super resolution image
title_short Enhancement of iterative back projection technique for super resolution image
title_full Enhancement of iterative back projection technique for super resolution image
title_fullStr Enhancement of iterative back projection technique for super resolution image
title_full_unstemmed Enhancement of iterative back projection technique for super resolution image
title_sort enhancement of iterative back projection technique for super resolution image
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2018
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72421
_version_ 1772813060842455040
score 13.222552

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