Journal article
Lossless compression of continuous-tone images via context selection, quantization, and modeling
Abstract
Context modeling is an extensively studied paradigm for lossless compression of continuous-tone images. However, without careful algorithm design, high-order Markovian modeling of continuous-tone images is too expensive in both computational time and space to be practical. Furthermore, the exponential growth of the number of modeling states in the order of a Markov model can quickly lead to the problem of context dilution; that is, an image may …
Authors
Wu X
Journal
IEEE Transactions on Image Processing, Vol. 6, No. 5, pp. 656–664
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
1997
DOI
10.1109/83.568923
ISSN
1057-7149