Dynamic algorithm for correlation noise estimation in distributed video coding

Kuganeswaran Thambu; Xavier Fernando; Ling Guan

doi:10.1117/12.840314

18 January 2010 Dynamic algorithm for correlation noise estimation in distributed video coding

Kuganeswaran Thambu, Xavier Fernando, Ling Guan

Proceedings Volume 7543, Visual Information Processing and Communication; 754310 (2010) https://doi.org/10.1117/12.840314
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

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.

Citation Download Citation

Kuganeswaran Thambu, Xavier Fernando, and Ling Guan "Dynamic algorithm for correlation noise estimation in distributed video coding", Proc. SPIE 7543, Visual Information Processing and Communication, 754310 (18 January 2010); https://doi.org/10.1117/12.840314

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