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13 March 1996 Quadtree-based transform coding for multispectral image compression
Jungwoo Lee
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Proceedings Volume 2669, Still-Image Compression II; (1996) https://doi.org/10.1117/12.234763
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
A new multispectral image compression technique based on the KLT and the DCT is proposed. The quadtree for determining the block size and the quantizer for encoding the transform coefficients are jointly optimized in a rate-distortion sense. The problem is solved by a Lagrange multiplier approach. This approach was also used in an optimal MPEG encoding problem by the author. After a quadtree is determined by this approach, the KLT is applied to the spectral axis for each block before the DCT is applied on the spatial domain. The eigenvectors of the autocovariance matrix, the quantization scale, and the quantized transform coefficients for each block are the output of the encoder. The overhead information required in this scheme is the bits for the quadtree representation.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Jungwoo Lee "Quadtree-based transform coding for multispectral image compression", Proc. SPIE 2669, Still-Image Compression II, (13 March 1996); https://doi.org/10.1117/12.234763
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KEYWORDS
Image compression
Computer programming
Multispectral imaging
Distortion
Quantization
Optimization (mathematics)
3D image processing
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