Integrated Rate Control and Entropy Coding for JPEG 2000

Authors:
Wei Yu
Affiliations:
-
Venue:
DCC '04 Proceedings of the Conference on Data Compression
Year:
2004

Citing 0
Cited 2

Self-conducted allocation strategy of quality layers for JPEG2000

EURASIP Journal on Advances in Signal Processing
An Efficient Pipeline Architecture and Memory Bit-Width Analysis for Discrete Wavelet Transform of the 9/7 Filter for JPEG 2000

Journal of Signal Processing Systems

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Abstract

In this paper, we present an Integrated Rate control and Entropy Coding (IREC) schemefor JPEG 2000. Based on an efficient heap-based rate allocation algorithm, the characteristicsof image content, the subband coefficinet and bitplane weighting models, and the user-specifiedoptimization criteria, the proposed IREC scheme can selectively perform entropy coding onlyon those parts of image data that are likely to be included in the final bitstream. Since entropycoding is the most time and power consuming part, the IREC scheme can then reduce theoverall computation and power consumption of JPEG 2000 encoding procedure. Both theoreticalanalysis and empirical results validate the advantages of the IREC scheme. For example, whenencoding the lenna color image with a targeted compression ratio of 128:1, compared withthe separate rate control and entropy coding schemes, about 93% savings in computation andpower consumption can be achieved on the entropy coding procedure.