A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video
<p/> <p>Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for digital video. To effectively deal with the intractable problems in SR video reconstructi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2007-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://asp.eurasipjournals.com/content/2007/074585 |
| _version_ | 1828291012796088320 |
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| author | Zhang Liangpei Lam Edmund Y Ng Michael K Shen Huanfeng |
| author_facet | Zhang Liangpei Lam Edmund Y Ng Michael K Shen Huanfeng |
| author_sort | Zhang Liangpei |
| collection | DOAJ |
| description | <p/> <p>Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for digital video. To effectively deal with the intractable problems in SR video reconstruction, such as inevitable motion estimation errors, noise, blurring, missing regions, and compression artifacts, the total variation (TV) regularization is employed in the reconstruction model. We use the fixed-point iteration method and preconditioning techniques to efficiently solve the associated nonlinear Euler-Lagrange equations of the corresponding variational problem in SR. The proposed algorithm has been tested in several cases of motion and degradation. It is also compared with the Laplacian regularization-based SR algorithm and other TV-based SR algorithms. Experimental results are presented to illustrate the effectiveness of the proposed algorithm.</p> |
| first_indexed | 2024-04-13T10:45:20Z |
| format | Article |
| id | doaj.art-05b24608185a44649d272b32ca43f395 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-04-13T10:45:20Z |
| publishDate | 2007-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-05b24608185a44649d272b32ca43f3952022-12-22T02:49:49ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-0120071074585A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital VideoZhang LiangpeiLam Edmund YNg Michael KShen Huanfeng<p/> <p>Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for digital video. To effectively deal with the intractable problems in SR video reconstruction, such as inevitable motion estimation errors, noise, blurring, missing regions, and compression artifacts, the total variation (TV) regularization is employed in the reconstruction model. We use the fixed-point iteration method and preconditioning techniques to efficiently solve the associated nonlinear Euler-Lagrange equations of the corresponding variational problem in SR. The proposed algorithm has been tested in several cases of motion and degradation. It is also compared with the Laplacian regularization-based SR algorithm and other TV-based SR algorithms. Experimental results are presented to illustrate the effectiveness of the proposed algorithm.</p>http://asp.eurasipjournals.com/content/2007/074585 |
| spellingShingle | Zhang Liangpei Lam Edmund Y Ng Michael K Shen Huanfeng A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video EURASIP Journal on Advances in Signal Processing |
| title | A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video |
| title_full | A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video |
| title_fullStr | A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video |
| title_full_unstemmed | A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video |
| title_short | A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video |
| title_sort | total variation regularization based super resolution reconstruction algorithm for digital video |
| url | http://asp.eurasipjournals.com/content/2007/074585 |
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