Enhancement of iterative back projection technique for super resolution image
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. Besi...
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my-unimap-724212023-03-06T04:47:49Z Enhancement of iterative back projection technique for super resolution image Shahrul Nizam, Yaakob, Assoc. Prof. Dr. 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. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72421 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72421/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72421/1/Page%201-24.pdf 3643a936e5c755235460f98b6874f57a http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72421/2/Full%20text.pdf 2e77d2b835955191a9aa9b8edd32aa74 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72421/4/Amir%20Nazrin.pdf 8fe9a60b9499a908167e658b4d764dab Universiti Malaysia Perlis (UniMAP) High resolution imaging Image processing -- Digital techniques Image processing -- Digital techniques -- Mathematics Image processing -- Mathematics Iterative Back Projection (IBP) School of Computer and Communication Engineering |
institution |
Universiti Malaysia Perlis |
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UniMAP Institutional Repository |
language |
English |
advisor |
Shahrul Nizam, Yaakob, Assoc. Prof. Dr. |
topic |
High resolution imaging Image processing -- Digital techniques Image processing -- Digital techniques -- Mathematics Image processing -- Mathematics Iterative Back Projection (IBP) |
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High resolution imaging Image processing -- Digital techniques Image processing -- Digital techniques -- Mathematics Image processing -- Mathematics Iterative Back Projection (IBP) Enhancement of iterative back projection technique for super resolution image |
description |
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. |
format |
Thesis |
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 |
granting_institution |
Universiti Malaysia Perlis (UniMAP) |
granting_department |
School of Computer and Communication Engineering |
url |
http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72421/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72421/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72421/4/Amir%20Nazrin.pdf |
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