Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/16495
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Improved multiple description wavelet based image coding using subband uniform quantization
Authors: Khelil, Khaled
Hussain, Amir
Bekka, Rais El Hadi
Berrezzek, Farid
Contact Email: amir.hussain@stir.ac.uk
Keywords: Multiple description coding
Discrete wavelet transform (DWT)
Image coding
Genetic algorithm (GA)
Issue Date: Nov-2011
Publisher: Elsevier
Citation: Khelil K, Hussain A, Bekka REH & Berrezzek F (2011) Improved multiple description wavelet based image coding using subband uniform quantization, AEU - International Journal of Electronics and Communications / Archiv für Elektronik und Übertragungstechnik, 65 (11), pp. 967-974.
Abstract: The objective of multiple description coding (MDC) is to encode a source into multiple descriptions supporting different quality levels of reconstruction. In this paper, we use the multiple description transform coding (MDTC) algorithm based on the wavelet transform that has been shown to be robust to packet losses allowing a graceful quality degradation. The case of transmitting still images with four descriptions is considered. We propose to use subband uniform quantization with different quantization steps, optimized using a genetic algorithm (GA), when compressing to a target bit-rate. Simulation results show that the proposed method offers substantial improvements in the case of packet loss when compared to previously reported work that applies uniform quantization with a fixed step size.
Type: Journal Article
URI: http://hdl.handle.net/1893/16495
DOI Link: http://dx.doi.org/10.1016/j.aeue.2011.03.011
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: University of Souk Ahras
Computing Science - CSM Dept
University of Ferhat Abbes Setif
University of Souk Ahras

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