Paper
13 September 2008 Temporal flicker reduction and denoising in video using sparse directional transforms
Sandeep Kanumuri, Onur G. Guleryuz, M. Reha Civanlar, Akira Fujibayashi, Choong S. Boon
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sandeep Kanumuri, Onur G. Guleryuz, M. Reha Civanlar, Akira Fujibayashi, and Choong S. Boon "Temporal flicker reduction and denoising in video using sparse directional transforms", Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70730M (13 September 2008); https://doi.org/10.1117/12.796747
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CITATIONS
Cited by 9 scholarly publications and 5 patents.
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KEYWORDS
Video

Transform theory

Denoising

Video compression

Motion estimation

Internet

Terbium

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