Shape adaptive integer wavelet transform based coding scheme for 2-D/3-D MR images

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) intraban...

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Veröffentlicht in:Data Compression Conference, 2004. Proceedings. DCC 2004 S. 552
Hauptverfasser: Mehrotra, A., Srikanth, R., Ramakrishnan, A.G.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 2004
Schlagworte:
Data mining
Encoding
Entropy coding
Image coding
Magnetic resonance imaging
Morphological operations
Performance loss
Propagation losses
Shape
Wavelet transforms
ISBN:0769520820, 9780769520827
ISSN:1068-0314
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Zusammenfassung: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.
ISBN:0769520820
9780769520827
ISSN:1068-0314
DOI:10.1109/DCC.2004.1281528