Lossless Compression of Medical and Natural High Bit Depth Sparse Histogram Images

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...

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Bibliographic Details
Published inBeyond Databases, Architectures and Structures pp. 363 - 376
Main Author Starosolski, Roman
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2015
SeriesCommunications in Computer and Information Science
Subjects
DICOM
High bit depth images
Histogram encoding
Histogram packing
Image coding standards
Image processing
JPEG-LS
JPEG2000
Lossless image compression
Medical images
Sparse histogram
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ISBN3319184210
9783319184210
ISSN1865-0929
1865-0937
DOI10.1007/978-3-319-18422-7_32

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Summary: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.
ISBN:3319184210
9783319184210
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-319-18422-7_32