Advanced image restoration techniques
The purpose of this report is to provide a summary of the investigation and research into the problem of restoring blurred and noisy images. The Matlab™ for Microsoft Windows™ is used in this project to implement different algorithms. In real life, pictures taken by a camera may be blurred due to th...
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sg-ntu-dr.10356-390162023-07-04T15:46:18Z Advanced image restoration techniques Mok, Chi Kin. Liu, Jun School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The purpose of this report is to provide a summary of the investigation and research into the problem of restoring blurred and noisy images. The Matlab™ for Microsoft Windows™ is used in this project to implement different algorithms. In real life, pictures taken by a camera may be blurred due to the motion of either the camera or the target, or the defocusing of the camera. These blurs can be modeled as point spread functions (PSF). The knowledge of the PSF is important as it is required in the restoration processes. When the PSF is known, image restoration methods like Inverse Filtering and Wiener Filtering can be used to restore the pictures. Master of Science (Communications and Computer Networking) 2010-05-21T03:45:13Z 2010-05-21T03:45:13Z 1997 1997 Thesis http://hdl.handle.net/10356/39016 en NANYANG TECHNOLOGICAL UNIVERSITY 56 p. application/pdf |
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Nanyang Technological University |
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Asia |
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Singapore Singapore |
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English |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Mok, Chi Kin. Advanced image restoration techniques |
| description |
The purpose of this report is to provide a summary of the investigation and research into the problem of restoring blurred and noisy images. The Matlab™ for Microsoft Windows™ is used in this project to implement different algorithms. In real life, pictures taken by a camera may be blurred due to the motion of either the camera or the target, or the defocusing of the camera. These blurs can be modeled as point spread functions (PSF). The knowledge of the PSF is important as it is required in the restoration processes. When the PSF is known, image restoration methods like Inverse Filtering and Wiener Filtering can be used to restore the pictures. |
| author2 |
Liu, Jun |
| author_facet |
Liu, Jun Mok, Chi Kin. |
| format |
Theses and Dissertations |
| author |
Mok, Chi Kin. |
| author_sort |
Mok, Chi Kin. |
| title |
Advanced image restoration techniques |
| title_short |
Advanced image restoration techniques |
| title_full |
Advanced image restoration techniques |
| title_fullStr |
Advanced image restoration techniques |
| title_full_unstemmed |
Advanced image restoration techniques |
| title_sort |
advanced image restoration techniques |
| publishDate |
2010 |
| url |
http://hdl.handle.net/10356/39016 |
| _version_ |
1772826672124395520 |