DocumentCode :
2743724
Title :
Shape adaptive integer wavelet transform based coding scheme for 2-D/3-D MR images
Author :
Mehrotra, Abhishek ; Srikanth, R. ; Ramakrishnan, A.G.
Author_Institution :
Indian Inst. of Sci., Bangalore, India
fYear :
2004
fDate :
23-25 March 2004
Firstpage :
552
Abstract :
This paper proposes a new shape adaptive integer wavelet transform (SAIWT) based progressive transmission coding scheme for 2-D and 3-D brain MRI. This scheme consists of: (a) extraction of shape information (mask) by morphological operations; (b) 2D/3D separable biorthogonal 9-7 SAIWT; (c) intraband wavelet encoding of the foreground object. This object based coding greatly improves both overall progressive transmission performance and lossless compression; (d) entropy coding of resulting bit stream and differential coding of the boundary of binary mask. The performance of shape adaptive scheme (both 2D and 3D) is superior to the conventional rectangular based schemes at all bit rates.
Keywords :
adaptive codes; biomedical MRI; brain; data compression; entropy codes; masks; medical image processing; transform coding; wavelet transforms; 2-D-3-D MR image; binary mask; bit stream; brain MRI; differential coding; entropy coding; foreground object; intraband wavelet encoding; lossless compression; morphological operation; progressive transmission coding scheme; separable biorthogonal transform; shape adaptive integer wavelet transform based coding scheme; shape information mask extraction; Data mining; Encoding; Entropy coding; Image coding; Magnetic resonance imaging; Morphological operations; Performance loss; Propagation losses; Shape; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2004. Proceedings. DCC 2004
ISSN :
1068-0314
Print_ISBN :
0-7695-2082-0
Type :
conf
DOI :
10.1109/DCC.2004.1281528
Filename :
1281528
Link To Document :
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