Abstract
A new compressive video sampling method is investigated. as opposed to other video sampling methods for which processing is conducted on a single-frame basis, this method is applied on multiple frames of the video stream. by exploiting the extension of Wavelet to 3-D with the support of Noiselet 3-D and combining it with fast reconstruction algorithms, this framework produces successful results quickly while maintaining the quality of the video stream. Despite its simplicity, this new approach outperforms other sophisticated methods. © 2012 IEEE.
Recommended Citation
D. Lam and D. C. Wunsch, "Video Compressive Sensing with 3-D Wavelet and 3-D Noiselet," Proceedings - International Conference on Image Processing, ICIP, pp. 893 - 896, article no. 6467004, Institute of Electrical and Electronics Engineers, Dec 2012.
The definitive version is available at https://doi.org/10.1109/ICIP.2012.6467004
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
Keywords and Phrases
ℓ -norm 1; Compressive sensing; Noiselet; video coding; Wavelet
International Standard Book Number (ISBN)
978-146732533-2
International Standard Serial Number (ISSN)
1522-4880
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Dec 2012
