Title :
Multiple description image coding framework for EBCOT
Author :
Subbalakshmi, K.P. ; Somasundaram, Siva
Author_Institution :
Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
Abstract :
Multiple description coding (MDC) schemes have become popular as robustness tools in packet switched networks where multiple paths with varying packet loss rates are available. The descriptions are designed so that the quality of the reconstructed image depends on the number of descriptions received and not on which descriptions are actually received. We propose a new MDC framework for the EBCOT algorithm used in the current JPEG 2000 standard for still image compression. The inherent block coding in EBCOT allows for more flexibility in the formation of basic groups that are then combined in different ways to form descriptions. The bit allocation problem (between the different groups in a description) is formulated and optimized for good rate-distortion performance. Optimization of the bit allocation between the primary and secondary positions in each description is obtained using the generalized BFOS algorithm. Experiments using the Kakadu software (for JPEG 2000) show that the performance of the proposed framework degrades gracefully with increase in the number of descriptions lost.
Keywords :
code standards; data compression; image coding; image reconstruction; packet switching; rate distortion theory; telecommunication standards; EBCOT algorithm; JPEG 2000 standard; Kakadu software; bit allocation optimization; block coding; generalized BFOS algorithm; image reconstruction; multiple description coding; packet loss rates; packet switched networks; rate-distortion performance; still image compression; Bit rate; Block codes; Degradation; Image coding; Image reconstruction; Packet switching; Rate-distortion; Robustness; Software performance; Transform coding;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1039027