Vol. 62 | no. 1 | January - March 2014 Article 12

A Novel Method to improve the Visual Quality of Biomedical Image Compression using Discreet Bandelet Transform based on Lifting Scheme and SPIHT Coder
(full text in English)

Mohammed BELADGHAM, Yassine HABCHI,
Abdelmouneim Moulay LAKHDAR, Abdesselam BASSOU
Abstract
A saturation system of storage and transmission is a complex problem. This problem is due to the large volume of data. Compression is one of the indispensable techniques to solve this problem. In this work, we propose bandelet transform as a new method based on capturing the complex geometric content in image. To use this transform to study and develop our algorithm, we have applied this technique on different types of compressed images (natural, medical and satellite images) using the bandelet transform coupled by two types performing coders (EZW and SPIHT coder). The goal of this paper is to examine the capacity of this transform proposed to offer an optimal representation for image geometric. Being interested in compressed medical image, in order to develop the compressed algorithm, we compared our results with those obtained by the bandelet transform application in satellite image field. We concluded that the results obtained are very satisfactory for medical image domain.
Keywords: bandelet transform, lifting scheme, optical flow, quadtree segmentation, SPIHT, EZW coder

 

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