Weber's Law-based Regularization for Blind Image Deblurring
Blind image deblurring aims to recover an output latent image and a blur kernel from a given blurred image. Kernel estimation is a significant step in blind image deblurring and requires a regularization technique to minimize the cost function and the edges of objects to generate a sharp image in a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
D. G. Pylarinos
2024-02-01
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| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | https://etasr.com/index.php/ETASR/article/view/6576 |
| _version_ | 1797319317606367232 |
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| author | Malik Najmus Saqib Hussain Dawood Ahmed Alghamdi Hassan Dawood |
| author_facet | Malik Najmus Saqib Hussain Dawood Ahmed Alghamdi Hassan Dawood |
| author_sort | Malik Najmus Saqib |
| collection | DOAJ |
| description | Blind image deblurring aims to recover an output latent image and a blur kernel from a given blurred image. Kernel estimation is a significant step in blind image deblurring and requires a regularization technique to minimize the cost function and the edges of objects to generate a sharp image in a better way. This study proposes a new image regularization technique called Weber's Law Regularization (WLR) based on the Weber law phenomenon. The Weber ratio was used to preserve the edges of small salient objects and to minimize the cost function to obtain a sharp image while minimizing the ringing effect. To validate the WLR, experiments were conducted on benchmark synthetic and real word images and compared with existing state-of-the-art methods. The experimental results showed that WLR can effectively and efficiently deblur images even in the absence of prior knowledge.
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| first_indexed | 2024-03-08T04:05:10Z |
| format | Article |
| id | doaj.art-eea211ca0a624a80a8c9645613980a60 |
| institution | Directory Open Access Journal |
| issn | 2241-4487 1792-8036 |
| language | English |
| last_indexed | 2024-03-08T04:05:10Z |
| publishDate | 2024-02-01 |
| publisher | D. G. Pylarinos |
| record_format | Article |
| series | Engineering, Technology & Applied Science Research |
| spelling | doaj.art-eea211ca0a624a80a8c9645613980a602024-02-09T06:06:07ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362024-02-0114110.48084/etasr.6576Weber's Law-based Regularization for Blind Image DeblurringMalik Najmus Saqib0Hussain Dawood1Ahmed Alghamdi2Hassan Dawood3College of Computer Science and Engineering, University of Jeddah, Saudi ArabiaDepartment of Information Engineering Technology, National Skills University Islamabad, Pakistan | School of Computing, Skyline University College, University City of Sharjah, United Arab EmiratesCollege of Computer Science and Engineering, University of Jeddah, Saudi ArabiaDepartment of Software Engineering, University of Engineering and Technology, PakistanBlind image deblurring aims to recover an output latent image and a blur kernel from a given blurred image. Kernel estimation is a significant step in blind image deblurring and requires a regularization technique to minimize the cost function and the edges of objects to generate a sharp image in a better way. This study proposes a new image regularization technique called Weber's Law Regularization (WLR) based on the Weber law phenomenon. The Weber ratio was used to preserve the edges of small salient objects and to minimize the cost function to obtain a sharp image while minimizing the ringing effect. To validate the WLR, experiments were conducted on benchmark synthetic and real word images and compared with existing state-of-the-art methods. The experimental results showed that WLR can effectively and efficiently deblur images even in the absence of prior knowledge. https://etasr.com/index.php/ETASR/article/view/6576regularizationimage deblurringWeber's lawWeber's Law Regularization (WLR) |
| spellingShingle | Malik Najmus Saqib Hussain Dawood Ahmed Alghamdi Hassan Dawood Weber's Law-based Regularization for Blind Image Deblurring Engineering, Technology & Applied Science Research regularization image deblurring Weber's law Weber's Law Regularization (WLR) |
| title | Weber's Law-based Regularization for Blind Image Deblurring |
| title_full | Weber's Law-based Regularization for Blind Image Deblurring |
| title_fullStr | Weber's Law-based Regularization for Blind Image Deblurring |
| title_full_unstemmed | Weber's Law-based Regularization for Blind Image Deblurring |
| title_short | Weber's Law-based Regularization for Blind Image Deblurring |
| title_sort | weber s law based regularization for blind image deblurring |
| topic | regularization image deblurring Weber's law Weber's Law Regularization (WLR) |
| url | https://etasr.com/index.php/ETASR/article/view/6576 |
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