@inproceedings{cec7a42d5f3d42cb8666e6d5723c4805,
title = "A probabilistic image model for smoothing and compression",
abstract = "In this paper, the problem of edge preserving smoothing in image processing is tackled by combining a noise corruption model and a region and edge image model. The derivation of the probability model for the first order difference in the gray levels of the region pixels and edge pixels leads to a non-linear filter with coefficients as functions of the estimated noise variance and edge intensity. Such a model-based approach allows the design of improved filters for noise filtering and image compression. Experimental results demonstrate the improved performance of the filter for both synthetic and natural images.",
keywords = "edge-preserving smoothing, image compression, image processing, model-based filter",
author = "Li, {C. H.} and Yuen, {P. C.} and Tam, {P. K.S.}",
note = "Publisher Copyright: {\textcopyright} 2000 IEEE.; 1st International Conference on Information Technology: Coding and Computing, ITCC 2000 ; Conference date: 27-03-2000 Through 29-03-2000",
year = "2000",
doi = "10.1109/ITCC.2000.844180",
language = "English",
series = "Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2000",
publisher = "IEEE",
pages = "36--41",
booktitle = "Proceedings - International Conference on Information Technology",
address = "United States",
}