1 September 1995 Image data compression with pdf-adaptive reconstruction of wavelet coefficients
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Abstract
The present contribution proposes a new remarkably efficient image compression algorithm for graylevel images based on dyadic wavelet transformations. In order to achieve perfect reconstruction, orthogonal decomposition is applied. Scalar quantization of wavelet coefficients is combined with run-length coding. Code word assignment is performed by semi- adaptive Huffman coding (determined by validity tables). To improve the reconstruction quality of images a new technique of pdf-adaptive reconstruction of wavelet coefficients is used.
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Tilo Strutz, Erika Mueller, "Image data compression with pdf-adaptive reconstruction of wavelet coefficients", Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); doi: 10.1117/12.217627; https://doi.org/10.1117/12.217627
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