Image data compression with pdf-adaptive reconstruction of wavelet coefficients
Tilo Strutz, Erika Mueller · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
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.