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Proceedings Paper

Temporal flicker reduction and denoising in video using sparse directional transforms
Author(s): Sandeep Kanumuri; Onur G. Guleryuz; M. Reha Civanlar; Akira Fujibayashi; Choong S. Boon
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Paper Abstract

The bulk of the video content available today over the Internet and over mobile networks suffers from many imperfections caused during acquisition and transmission. In the case of user-generated content, which is typically produced with inexpensive equipment, these imperfections manifest in various ways through noise, temporal flicker and blurring, just to name a few. Imperfections caused by compression noise and temporal flicker are present in both studio-produced and user-generated video content transmitted at low bit-rates. In this paper, we introduce an algorithm designed to reduce temporal flicker and noise in video sequences. The algorithm takes advantage of the sparse nature of video signals in an appropriate transform domain that is chosen adaptively based on local signal statistics. When the signal corresponds to a sparse representation in this transform domain, flicker and noise, which are spread over the entire domain, can be reduced easily by enforcing sparsity. Our results show that the proposed algorithm reduces flicker and noise significantly and enables better presentation of compressed videos.

Paper Details

Date Published: 13 September 2008
PDF: 11 pages
Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70730M (13 September 2008); doi: 10.1117/12.796747
Show Author Affiliations
Sandeep Kanumuri, DoCoMo Communications Labs. USA, Inc. (United States)
Onur G. Guleryuz, DoCoMo Communications Labs. USA, Inc. (United States)
M. Reha Civanlar, DoCoMo Communications Labs. USA, Inc. (United States)
Akira Fujibayashi, NTT DoCoMo, Inc. (Japan)
Choong S. Boon, NTT DoCoMo, Inc. (Japan)


Published in SPIE Proceedings Vol. 7073:
Applications of Digital Image Processing XXXI
Andrew G. Tescher, Editor(s)

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