1 October 2005 Compressing discrete cosine transform coefficients by modified set partitioning in hierarchical trees
Author Affiliations +
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)
Wen-Chien Yen, Wen-Chien Yen, Yen-Yu Chen, Yen-Yu Chen, Shen-Chuan Tai, 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 . Submission:


Spatial quantization via local texture masking
Proceedings of SPIE (March 17 2005)
Efficient transcoding of JPEG2000 images
Proceedings of SPIE (November 18 2003)
Visual masking in wavelet compression for JPEG-2000
Proceedings of SPIE (April 18 2000)
Upscaling method in space domain for ROI in JPEG2000
Proceedings of SPIE (February 07 2005)

Back to Top