A New Application of MSPIHT for Medical Imaging

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DC Field	Value	Language
dc.contributor.author	A. ZITOUNI	-
dc.contributor.author	Z. BAARIR	-
dc.contributor.author	A. OUAFI	-
dc.contributor.author	Abdlmalik TALEB AHMED	-
dc.date.accessioned	2014-06-08T07:30:50Z	-
dc.date.available	2014-06-08T07:30:50Z	-
dc.date.issued	2014-06-08	-
dc.identifier.uri	http://archives.univ-biskra.dz/handle/123456789/3482	-
dc.description.abstract	In this paper, we propose a new application for medical imaging to image compression based on the principle of Set Partitioning In Hierarchical Tree algorithm (SPIHT). Our approach called , the modified SPIHT (MSPIHT), distributes entropy differently than SPIHT and also optimizes the coding. This approach can produce results that are a significant improvement on the Peak Signal-to-Noise Ratio (PSNR) and compression ratio obtained by SPIHT algorithm, without affecting the computing time. These results are also comparable with those obtained using the Set Partitioning In Hierarchical Tree (SPIHT) and Joint Photographic Experts Group 2000 (JPG2) algorithms	en_US
dc.language.iso	en	en_US
dc.subject	Image compression, SPIHT, MSPIHT, Entropy, Coding, PSNR, Compression ratio	en_US
dc.title	A New Application of MSPIHT for Medical Imaging	en_US
dc.type	Article	en_US
Appears in Collections:	Publications Internationales

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