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Proceedings Paper

Dynamic algorithm for correlation noise estimation in distributed video coding
Author(s): Kuganeswaran Thambu; Xavier Fernando; Ling Guan
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Paper Abstract

Low complexity encoders at the expense of high complexity decoders are advantageous in wireless video sensor networks. Distributed video coding (DVC) achieves the above complexity balance, where the receivers compute Side information (SI) by interpolating the key frames. Side information is modeled as a noisy version of input video frame. In practise, correlation noise estimation at the receiver is a complex problem, and currently the noise is estimated based on a residual variance between pixels of the key frames. Then the estimated (fixed) variance is used to calculate the bit-metric values. In this paper, we have introduced the new variance estimation technique that rely on the bit pattern of each pixel, and it is dynamically calculated over the entire motion environment which helps to calculate the soft-value information required by the decoder. Our result shows that the proposed bit based dynamic variance estimation significantly improves the peak signal to noise ratio (PSNR) performance.

Paper Details

Date Published: 18 January 2010
PDF: 8 pages
Proc. SPIE 7543, Visual Information Processing and Communication, 754310 (18 January 2010); doi: 10.1117/12.840314
Show Author Affiliations
Kuganeswaran Thambu, Ryerson Univ. (Canada)
Xavier Fernando, Ryerson Univ. (Canada)
Ling Guan, Ryerson Univ. (Canada)

Published in SPIE Proceedings Vol. 7543:
Visual Information Processing and Communication
Amir Said; Onur G. Guleryuz, Editor(s)

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