A Lossless Image Compression for Medical Images Based on Hierarchical Sorting Technique

Atsushi MYOJOYAMA; Tsuyoshi YAMAMOTO

A Lossless Image Compression for Medical Images Based on Hierarchical Sorting Technique

Atsushi MYOJOYAMA, Tsuyoshi YAMAMOTO

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We propose new lossless medical image compression method based on hierarchical sorting technique. Hierarchical sorting is a technique to achieve high compression ratio by detecting the regions where image pattern varies abruptly and sorting pixel order by its value to increase predictability. In this method, we can control sorting accuracy along with size and complexity. As the result, we can reduce the sizes of the permutation-tables and reuse the tables to other image regions. Comparison using experimental implementation of this method shows better performance for medical image set measured by X-ray CT and MRI instruments where similar sub-block patterns appear frequently. This technique applies quad-tree division method to divide an image to blocks in order to support progressive decoding and fast preview of large images.

Publication: IEICE TRANSACTIONS on Information Vol.E85-D No.1 pp.108-114

Publication Date: 2002/01/01

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Type of Manuscript: Special Section PAPER (Special Issue on Measurements and Visualization Technology of Biological Information)

Category: Image Processing

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Atsushi MYOJOYAMA, Tsuyoshi YAMAMOTO, "A Lossless Image Compression for Medical Images Based on Hierarchical Sorting Technique" in IEICE TRANSACTIONS on Information, vol. E85-D, no. 1, pp. 108-114, January 2002, doi: .
Abstract: We propose new lossless medical image compression method based on hierarchical sorting technique. Hierarchical sorting is a technique to achieve high compression ratio by detecting the regions where image pattern varies abruptly and sorting pixel order by its value to increase predictability. In this method, we can control sorting accuracy along with size and complexity. As the result, we can reduce the sizes of the permutation-tables and reuse the tables to other image regions. Comparison using experimental implementation of this method shows better performance for medical image set measured by X-ray CT and MRI instruments where similar sub-block patterns appear frequently. This technique applies quad-tree division method to divide an image to blocks in order to support progressive decoding and fast preview of large images.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_1_108/_p

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@ARTICLE{e85-d_1_108,
author={Atsushi MYOJOYAMA, Tsuyoshi YAMAMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={A Lossless Image Compression for Medical Images Based on Hierarchical Sorting Technique},
year={2002},
volume={E85-D},
number={1},
pages={108-114},
abstract={We propose new lossless medical image compression method based on hierarchical sorting technique. Hierarchical sorting is a technique to achieve high compression ratio by detecting the regions where image pattern varies abruptly and sorting pixel order by its value to increase predictability. In this method, we can control sorting accuracy along with size and complexity. As the result, we can reduce the sizes of the permutation-tables and reuse the tables to other image regions. Comparison using experimental implementation of this method shows better performance for medical image set measured by X-ray CT and MRI instruments where similar sub-block patterns appear frequently. This technique applies quad-tree division method to divide an image to blocks in order to support progressive decoding and fast preview of large images.},
keywords={},
doi={},
ISSN={},
month={January},}

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TY - JOUR
TI - A Lossless Image Compression for Medical Images Based on Hierarchical Sorting Technique
T2 - IEICE TRANSACTIONS on Information
SP - 108
EP - 114
AU - Atsushi MYOJOYAMA
AU - Tsuyoshi YAMAMOTO
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2002
AB - We propose new lossless medical image compression method based on hierarchical sorting technique. Hierarchical sorting is a technique to achieve high compression ratio by detecting the regions where image pattern varies abruptly and sorting pixel order by its value to increase predictability. In this method, we can control sorting accuracy along with size and complexity. As the result, we can reduce the sizes of the permutation-tables and reuse the tables to other image regions. Comparison using experimental implementation of this method shows better performance for medical image set measured by X-ray CT and MRI instruments where similar sub-block patterns appear frequently. This technique applies quad-tree division method to divide an image to blocks in order to support progressive decoding and fast preview of large images.
ER -