Data Compression and Elementary Encoding of Wavelet Coefficients
Zhenguang Gao, A. Andreev, Robert Sharpley · 1997
Abstract : Two elementary algorithms are introduced for image compression each of which is based on efficient, lossless encoding of quantized bi-orthogonal wavelet coefficients. Application of this type of algorithm is applied to several standard test images using regular and hyperbolic wavelet bases, and comparisons are given to Shapiro's EZW algorithm. Peak signal to noise ratio improvements typically of 0.6-0.8 dB are demonstrated. Generalizations of this type of algorithm to non-square images and higher dimensions are also briefly described.