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Medical image compression using a novel embedded set partitioning significant and zero block coding
Joint Authors
Palanisamy, Geetha
Samukutti, Annadurai
Source
The International Arab Journal of Information Technology
Issue
Vol. 5, Issue 2 (30 Apr. 2008), pp.132-139, 8 p.
Publisher
Publication Date
2008-04-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Lossless compression with progressive transmission is playing a key role in telemedicine applications.
The proposed lossless embedded progressive region based significant and zero block coding uses a recursive set partitioning procedure to sort subsets of wavelet coefficients by maximum magnitude with respect to thresholds that are integer powers of two.
It exploits two fundamental characteristics of a wavelet transform–the well defined hierarchical structure and energy clustering in transform domain.
The proposed low complexity coder is rooted from Set Partitioning Embedded Block (SPECK) and it is a distortion scalable coder which achieves excellent coding performance.
Extensive experiments have verified that the proposed coder is competitive with other state of the coders such as set partitioning in hierarchical trees, SPECK, JPEG2000 on compression performance and computational complexity for standard test images.
American Psychological Association (APA)
Palanisamy, Geetha& Samukutti, Annadurai. 2008. Medical image compression using a novel embedded set partitioning significant and zero block coding. The International Arab Journal of Information Technology،Vol. 5, no. 2, pp.132-139.
https://search.emarefa.net/detail/BIM-10594
Modern Language Association (MLA)
Palanisamy, Geetha& Samukutti, Annadurai. Medical image compression using a novel embedded set partitioning significant and zero block coding. The International Arab Journal of Information Technology Vol. 5, no. 2 (Apr. 2008), pp.132-139.
https://search.emarefa.net/detail/BIM-10594
American Medical Association (AMA)
Palanisamy, Geetha& Samukutti, Annadurai. Medical image compression using a novel embedded set partitioning significant and zero block coding. The International Arab Journal of Information Technology. 2008. Vol. 5, no. 2, pp.132-139.
https://search.emarefa.net/detail/BIM-10594
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical rerferences : p. 138-139
Record ID
BIM-10594