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