DocumentCode
1998569
Title
Fully scalable multiple description image coding
Author
Majid, Muhammad ; Abhayaratne, Charith
Author_Institution
Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK
fYear
2009
fDate
5-7 Oct. 2009
Firstpage
1
Lastpage
6
Abstract
In this paper a novel scheme that incorporates both quality and resolution scalability within the multiple description coding (MDC) framework is presented. Different resolution descriptions are created by using several multiple description scalar quantizers (MDSQ) concept in different wavelet decomposition levels and the quality scalability is achieved in each description by successive refinement of the side quantizers to obtain enhancement layers. We propose the criteria to select different resolution descriptions from several MDSQs and the relationship between the refinement factor of each side quantizer of MDSQ and the number of diagonals filled in the MDSQ index assignment matrix. Rate distortion performances of the fully scalable image coding at different resolution and quality are presented. The Robustness of the proposed scheme is evaluated for the packet erasure channel and compared with scalable single description image coding.
Keywords
image coding; image enhancement; image resolution; enhancement layers; index assignment matrix; multiple description image coding; multiple description scalar quantizers; packet erasure channel; rate distortion; resolution descriptions; resolution scalability; side quantizers; Automatic repeat request; Bandwidth; Error correction; Forward error correction; Image coding; Image resolution; Quantization; Resilience; Robustness; Scalability;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 2009. MMSP '09. IEEE International Workshop on
Conference_Location
Rio De Janeiro
Print_ISBN
978-1-4244-4463-2
Electronic_ISBN
978-1-4244-4464-9
Type
conf
DOI
10.1109/MMSP.2009.5293336
Filename
5293336
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