DocumentCode :
2531434
Title :
Multiple description image coding: A low complexity approach for lossy networks
Author :
Mansoor, Nafees ; Ndiaye, Fatou ; Chowdhury, Shahin Akter ; Razzak, M. Abdur
Author_Institution :
Sch. of Eng. & Comput. Sci., Indep. Univ.
fYear :
2008
fDate :
19-21 Nov. 2008
Firstpage :
1
Lastpage :
5
Abstract :
The development of an efficient and reliable multiple descriptions coding (MDC) scheme over lossy communication networks has been described. The advantage of MDC is that, if all the channels work, a high quality, possibly lossless, reconstruction can be achieved from all the received descriptions. On the other hand, a lower but still acceptable quality can be achieved if some of the channels are not received at all. In this article, a general framework of an efficient multiple description robust communication system with 2- and 4-channel cases is presented with a proposed block-based DC reallocation approach using intrinsic correlation. The peak signal-to-noise ratio (PSNR), mean squared error (MSE), bit rate, and entropy are calculated with the proposed method to analyze the reconstruction quality and the calculated results are compared with those of the other MDC methods. It is found that the proposed method, which uses an intrinsic correlation, gives comprehensive improvements over the other recently developed methods.
Keywords :
discrete cosine transforms; entropy codes; image coding; image reconstruction; mean square error methods; telecommunication networks; transform coding; block-based DC reallocation approach; discrete cosine transform; entropy calculation; image coding; intrinsic correlation; lossy network; mean squared error; multiple description robust communication system; reconstruction quality analysis; signal-to-noise ratio; Communication networks; Computer science; Decoding; Discrete cosine transforms; Image coding; Image reconstruction; PSNR; Propagation losses; Reliability engineering; Telecommunication network reliability; Multiple description coding; block-based transform coding; discrete cosine transform; nonhierarchical decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2008 - 2008 IEEE Region 10 Conference
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4244-2408-5
Electronic_ISBN :
978-1-4244-2409-2
Type :
conf
DOI :
10.1109/TENCON.2008.4766778
Filename :
4766778
Link To Document :
بازگشت