@inproceedings{9b170470fb55456ea18ac81840f35535,
title = "Mammogram compression using adaptive prediction",
abstract = "The JPEG lossless compression technique uses pixel value prediction based on the nearest neighbor pixel values. Usually a single predictor is used for the entire image. Recent work has shown that better compression performance can be achieved by choosing the predictors adaptively depending on the context of surrounding pixel or predictor values. This method is computationally lengthy and memory intensive. In mammograms the image contents can be separated into three distinct visual classes: background, smooth and textured, corresponding to three classes of predictors available in JPEG. This paper discusses an approach to exploiting the use of these classes directly for predictor choice.",
author = "Maeder, {Anthony J.}",
year = "1995",
month = apr,
day = "27",
doi = "10.1117/12.207616",
language = "English",
isbn = "0819417793",
volume = "2431",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
pages = "216--223",
editor = "Yongmin Kim",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
note = "Medical Imaging 1995: Image Display ; Conference date: 26-02-1995 Through 28-02-1995",
}