@inbook{291c33900a9e46b1926d06d00568fe9a,
title = "Lossless compression of medical and natural high bit depth sparse histogram images",
abstract = "In this paper we overview histogram packing methods and focus on an off-line packing method, which requires encoding the original histogram along with the compressed image. For a diverse set containing medical MR, CR and CT images as well as various natural 16-bit images, we report histogram packing effects obtained for several histogram encoding methods. The histogram packing improves significantly JPEG2000 and JPEG-LS lossless compression ratios of high bit depth sparse histogram images. In case of certain medical image modalities the improvement may exceed a factor of two, which indicates that histogram packing should be exploited in medical image databases as well as in medical picture archiving and communication systems in general as it is both highly advantageous and easy to apply.",
keywords = "DICOM, High bit depth images, Histogram encoding, Histogram packing, Image coding standards, Image processing, JPEG-LS, JPEG2000, Lossless image compression, Medical images, Sparse histogram",
author = "Roman Starosolski",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.",
year = "2015",
doi = "10.1007/978-3-319-18422-7\_32",
language = "English",
isbn = "9783319184210",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "363--376",
editor = "Stanislaw Kozielski and Dariusz Mrozek and Pawel Kasprowski and Bozena Malysiak-Mrozek and Daniel Kostrzewa",
booktitle = "Communications in Computer and Information Science",
address = "Germany",
}