Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries
Joint Authors
Wang, Shaofan
Yin, Baocai
Li, Huayang
Kong, Dehui
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Li, Huayang& Kong, Dehui& Wang, Shaofan& Yin, Baocai. 2016. Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1108466
Modern Language Association (MLA)
Li, Huayang…[et al.]. Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1108466
American Medical Association (AMA)
Li, Huayang& Kong, Dehui& Wang, Shaofan& Yin, Baocai. Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1108466
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108466