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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| Format: | Thesis |
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| Language: | English |
| Subjects: | |
| Online Access: | 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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| Summary: | 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. |
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