MULTIWAVELET TRANSFORM IN COMPRESSION OF MEDICAL IMAGES

This paper analyses performance of multiwavelets - a variant of wavelet transform on compression of medical images. To do so, two processes namely, transformation for decorrelation and encoding are done. In transformation stage medical images are subjected to multiwavelet transform using multiwavele...

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Bibliographic Details
Main Authors: V. K. Sudha, R. Sudhakar
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2013-05-01
Series:ICTACT Journal on Image and Video Processing
Subjects:
Online Access:http://ictactjournals.in/paper/Paper4_616_619.pdf
Description
Summary:This paper analyses performance of multiwavelets - a variant of wavelet transform on compression of medical images. To do so, two processes namely, transformation for decorrelation and encoding are done. In transformation stage medical images are subjected to multiwavelet transform using multiwavelets such as Geronimo- Hardin-Massopust, Chui Lian, Cardinal 2 Balanced (Cardbal2) and orthogonal symmetric/antsymmetric multiwavelet (SA4). Set partitioned Embedded Block Coder is used as a common platform for encoding the transformed coefficients. Peak Signal to noise ratio, bit rate and Structural Similarity Index are used as metrics for performance analysis. For experiment we have used various medical images such as Magnetic Resonance Image, Computed Tomography and X-ray images.
ISSN:0976-9099
0976-9102