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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