Paper
26 September 2001 Efficient embedded subband coding algorithm for DCT image compression
Jun Chen, Chengke Wu
Author Affiliations +
Proceedings Volume 4551, Image Compression and Encryption Technologies; (2001) https://doi.org/10.1117/12.442929
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
A low memory embedded subband image coding algorithm based on the discrete cosine transform (DCT) with low complexity and high performance is presented in this paper. The zerotree-based coder SPIHT and the zeroblock-based coder SPECK have found more successful application in wavelet image compression. Xiong et al.'s EZDCT scheme also employs the zerotree structure and fulfills a DCT-based embedded zerotree quantizer with its performance outperforming the baseline JPEG and improved JPEG. We point out the zerotree structure of DCT is not efficient in embedded DCT coder. Without relying on the zerotree structure, we propose a more efficient embedded subband codec based on the zeroblock partitioning for the DCT image (ESDCT) with lower memory requirements and higher compression performance. A comparison reveals that PSNR results of our ESDCT and are 0.5-1.5 dB higher than those of EZDCT and the compression performance is slightly superior to SPIHT in some cases.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Chen and Chengke Wu "Efficient embedded subband coding algorithm for DCT image compression", Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); https://doi.org/10.1117/12.442929
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Cited by 5 scholarly publications.
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KEYWORDS
Image compression

Wavelets

Wavelet transforms

Computer programming

Defense and security

Quantization

Binary data

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