Paper
1 September 1995 Embedded wavelet packet transform technique for texture compression
Jin Li, Po-Yuen Cheng, C.-C. Jay Kuo
Author Affiliations +
Abstract
A highly efficient texture compression scheme is proposed in this research. With this scheme, energy compaction of texture images is first achieved by the wavelet packet transform, and an embedding approach is then adopted for the coding of the wavelet packet transform coefficients. By comparing the proposed algorithm with the JPEG standard, FBI wavelet/scalar quantization standard and the EZW scheme with extensive experimental results, we observe a significant improvement in the rate-distortion performance and visual quality.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jin Li, Po-Yuen Cheng, and C.-C. Jay Kuo "Embedded wavelet packet transform technique for texture compression", Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); https://doi.org/10.1117/12.217613
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Wavelets

Quantization

Image compression

Wavelet transforms

Computer programming

Wavelet packet decomposition

Visualization

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