Video Superresolution Reconstruction Using Iterative Back Projection with Critical-Point Filters Based Image Matching
To improve the spatial resolution of reconstructed images/videos, this paper proposes a Superresolution (SR) reconstruction algorithm based on iterative back projection. In the proposed algorithm, image matching using critical-point filters (CPF) is employed to improve the accuracy of image registra...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2015/285969 |
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| _version_ | 1832564786009735168 |
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| author | Yixiong Zhang Mingliang Tao Kewei Yang Zhenmiao Deng |
| author_facet | Yixiong Zhang Mingliang Tao Kewei Yang Zhenmiao Deng |
| author_sort | Yixiong Zhang |
| collection | DOAJ |
| description | To improve the spatial resolution of reconstructed images/videos, this paper proposes a Superresolution (SR) reconstruction algorithm based on iterative back projection. In the proposed algorithm, image matching using critical-point filters (CPF) is employed to improve the accuracy of image registration. First, a sliding window is used to segment the video sequence. CPF based image matching is then performed between frames in the window to obtain pixel-level motion fields. Finally, high-resolution (HR) frames are reconstructed based on the motion fields using iterative back projection (IBP) algorithm. The CPF based registration algorithm can adapt to various types of motions in real video scenes. Experimental results demonstrate that, compared to optical flow based image matching with IBP algorithm, subjective quality improvement and an average PSNR score of 0.53 dB improvement are obtained by the proposed algorithm, when applied to video sequence. |
| format | Article |
| id | doaj-art-e8efe93e4f2e479f8df7acad50f3f642 |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-e8efe93e4f2e479f8df7acad50f3f6422025-02-03T01:10:17ZengWileyAdvances in Multimedia1687-56801687-56992015-01-01201510.1155/2015/285969285969Video Superresolution Reconstruction Using Iterative Back Projection with Critical-Point Filters Based Image MatchingYixiong Zhang0Mingliang Tao1Kewei Yang2Zhenmiao Deng3Department of Communication Engineering, Xiamen University, Xiamen, Fujian 361005, ChinaDepartment of Communication Engineering, Xiamen University, Xiamen, Fujian 361005, ChinaDepartment of Communication Engineering, Xiamen University, Xiamen, Fujian 361005, ChinaDepartment of Communication Engineering, Xiamen University, Xiamen, Fujian 361005, ChinaTo improve the spatial resolution of reconstructed images/videos, this paper proposes a Superresolution (SR) reconstruction algorithm based on iterative back projection. In the proposed algorithm, image matching using critical-point filters (CPF) is employed to improve the accuracy of image registration. First, a sliding window is used to segment the video sequence. CPF based image matching is then performed between frames in the window to obtain pixel-level motion fields. Finally, high-resolution (HR) frames are reconstructed based on the motion fields using iterative back projection (IBP) algorithm. The CPF based registration algorithm can adapt to various types of motions in real video scenes. Experimental results demonstrate that, compared to optical flow based image matching with IBP algorithm, subjective quality improvement and an average PSNR score of 0.53 dB improvement are obtained by the proposed algorithm, when applied to video sequence.http://dx.doi.org/10.1155/2015/285969 |
| spellingShingle | Yixiong Zhang Mingliang Tao Kewei Yang Zhenmiao Deng Video Superresolution Reconstruction Using Iterative Back Projection with Critical-Point Filters Based Image Matching Advances in Multimedia |
| title | Video Superresolution Reconstruction Using Iterative Back Projection with Critical-Point Filters Based Image Matching |
| title_full | Video Superresolution Reconstruction Using Iterative Back Projection with Critical-Point Filters Based Image Matching |
| title_fullStr | Video Superresolution Reconstruction Using Iterative Back Projection with Critical-Point Filters Based Image Matching |
| title_full_unstemmed | Video Superresolution Reconstruction Using Iterative Back Projection with Critical-Point Filters Based Image Matching |
| title_short | Video Superresolution Reconstruction Using Iterative Back Projection with Critical-Point Filters Based Image Matching |
| title_sort | video superresolution reconstruction using iterative back projection with critical point filters based image matching |
| url | http://dx.doi.org/10.1155/2015/285969 |
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