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Image coding with multiple description scalar quantization using optimal filtering for quantization indexes

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1 Author(s)
Urhan, O. ; Elektron. ve Haberlesme Muhendisligi Bolumu, Kocaeli Univ. Isaret ve Goruntu Isleme Laboratuvari - KULIS, Kocaeli

An image coding scheme based on multiple description scalar quantization (MDSQ) is presented in this paper. The proposed approach targets to improve coding efficiency for networks which have tendency to packet losses. In this work, it is aimed to estimate quantization indexes of lost descriptions at the decoder in least squares sense using optimal filter coefficients obtained at the encoder. Thus, the filter coefficients obtained at the encoder are also need to be transmitted in addition to descriptions. Experimental results show that the proposed approach provides better performance compared to conventional multiple description scalar quantization approach.

Published in:

Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th

Date of Conference:

9-11 April 2009