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Proceedings Paper

Efficient compression of sequences of medical and multispectral images
Author(s): Mariofanna Milanova; Roumen Kountchev; Vladimir Todorov; Roumiana Kountcheva
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Paper Abstract

The paper presents a new algorithm for efficient compression of sequences of medical images, based on the Inverse Pyramid Decomposition, called Group coding. The same approach is adapted for the efficient archiving of multispectral images as well. The algorithm is based on joint processing of all images in a group, representing the same object, and obtained using sensors of changing light length (multispectral images) or after time intervals. The background of the new approach is the use of the Inverse Pyramid Decomposition, which performs leveled image representation with increasing quality of the approximations obtained in the consecutive decomposition levels. The coarsest approximation of one of the images in the group, selected to be used as a reference one, is used to calculate the next (better) approximations of the remaining images in the group. As a result, is obtained efficient compression of the processed groups of images, which is of high importance for their efficient archiving and storage in image databases. Numerous experiences were performed with satellite and medical images, which proved the method efficiency.

Paper Details

Date Published: 26 May 2011
PDF: 7 pages
Proc. SPIE 8020, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VIII, 80200U (26 May 2011); doi: 10.1117/12.883964
Show Author Affiliations
Mariofanna Milanova, Univ. of Arkansas at Little Rock (United States)
Roumen Kountchev, Technical Univ. of Sofia (Bulgaria)
Vladimir Todorov, T&K Engineering Co. (Bulgaria)
Roumiana Kountcheva, T&K Engineering Co. (Bulgaria)


Published in SPIE Proceedings Vol. 8020:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VIII
Daniel J. Henry; Beato T. Cheng; Dale C. Linne von Berg; Darrell L. Young, Editor(s)

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