Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries
This paper proposes a two-stage method for hand depth image denoising and superresolution, using bilateral filters and learned dictionaries via noise-aware orthogonal matching pursuit (NAOMP) based K-SVD. The bilateral filtering phase recovers singular points and removes artifacts on silhouettes by...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/6587162 |
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| _version_ | 1832556377809092608 |
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| author | Huayang Li Dehui Kong Shaofan Wang Baocai Yin |
| author_facet | Huayang Li Dehui Kong Shaofan Wang Baocai Yin |
| author_sort | Huayang Li |
| collection | DOAJ |
| description | This paper proposes a two-stage method for hand depth image denoising and superresolution, using bilateral filters and learned dictionaries via noise-aware orthogonal matching pursuit (NAOMP) based K-SVD. The bilateral filtering phase recovers singular points and removes artifacts on silhouettes by averaging depth data using neighborhood pixels on which both depth difference and RGB similarity restrictions are imposed. The dictionary learning phase uses NAOMP for training dictionaries which separates faithful depth from noisy data. Compared with traditional OMP, NAOMP adds a residual reduction step which effectively weakens the noise term within the residual during the residual decomposition in terms of atoms. Experimental results demonstrate that the bilateral phase and the NAOMP-based learning dictionaries phase corporately denoise both virtual and real depth images effectively. |
| format | Article |
| id | doaj-art-05ee7a80f3074e5490788145b1f14f8a |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-05ee7a80f3074e5490788145b1f14f8a2025-02-03T05:45:32ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552016-01-01201610.1155/2016/65871626587162Hand Depth Image Denoising and Superresolution via Noise-Aware DictionariesHuayang Li0Dehui Kong1Shaofan Wang2Baocai Yin3Beijing Key Laboratory of Multimedia & Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, ChinaBeijing Key Laboratory of Multimedia & Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, ChinaBeijing Key Laboratory of Multimedia & Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, ChinaFaculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaThis paper proposes a two-stage method for hand depth image denoising and superresolution, using bilateral filters and learned dictionaries via noise-aware orthogonal matching pursuit (NAOMP) based K-SVD. The bilateral filtering phase recovers singular points and removes artifacts on silhouettes by averaging depth data using neighborhood pixels on which both depth difference and RGB similarity restrictions are imposed. The dictionary learning phase uses NAOMP for training dictionaries which separates faithful depth from noisy data. Compared with traditional OMP, NAOMP adds a residual reduction step which effectively weakens the noise term within the residual during the residual decomposition in terms of atoms. Experimental results demonstrate that the bilateral phase and the NAOMP-based learning dictionaries phase corporately denoise both virtual and real depth images effectively.http://dx.doi.org/10.1155/2016/6587162 |
| spellingShingle | Huayang Li Dehui Kong Shaofan Wang Baocai Yin Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries Journal of Electrical and Computer Engineering |
| title | Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries |
| title_full | Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries |
| title_fullStr | Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries |
| title_full_unstemmed | Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries |
| title_short | Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries |
| title_sort | hand depth image denoising and superresolution via noise aware dictionaries |
| url | http://dx.doi.org/10.1155/2016/6587162 |
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