Compressing discrete cosine transform coefficients by modified set partitioning in hierarchical trees

Wen-Chien Yen; Yen-Yu Chen; Shen-Chuan Tai

doi:10.1117/1.2136167

1 October 2005 Compressing discrete cosine transform coefficients by modified set partitioning in hierarchical trees

Wen-Chien Yen, Yen-Yu Chen, Shen-Chuan Tai

Author Affiliations +

Journal of Electronic Imaging, Vol. 14, Issue 4, 043003 (October 2005). https://doi.org/10.1117/1.2136167

Abstract

The discrete cosine transform (DCT) is widely used in many practical image/video compression systems because of its compression performance and computational efficiency. We adopt the DCT and the modified set partitioning in hierachical trees (SPIHT) algorithm that was designed initially for encoding the discrete wavelet transform (DWT) coefficients to be suitable to encode DCT coefficients. The algorithm represents the DCT coefficients to concentrate signal energy and proposes a combination and dictator to eliminate the correlation in the same level subband for encoding DCT-based images. To further save bits, subbands with significant coefficients are classified into seven types. The coding complexity of the proposed algorithm for DCT coefficients is just close to JPEG but the performance is higher than JPEG2000. Experimental results indicate that the proposed technique improves the quality of the reconstructed image in terms of peak SNR (PSNR) over SPIHT and JPEG2000 at the same bit rate.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Wen-Chien Yen, Yen-Yu Chen, and Shen-Chuan Tai "Compressing discrete cosine transform coefficients by modified set partitioning in hierarchical trees," Journal of Electronic Imaging 14(4), 043003 (1 October 2005). https://doi.org/10.1117/1.2136167

Published: 1 October 2005

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KEYWORDS

Image compression

JPEG2000

Computer programming

Discrete wavelet transforms

Image quality

Visualization

Computing systems

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