International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.6, No.5, Apr. 2014

The Performance of Discret Bandelet Transform Coupled by SPIHT Coder to Improve the Visuel Quality of Biomedical Color Image Compression

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Beladgham Mohammed, Habchi Yassine, Moulay Lakhdar Abdelmouneim, Abdesselam Bassou, Taleb-Ahmed Abdelmalik

Index Terms

Bandelet transform;Color image;Optical flow;Quadtree segmentation;SPIHT coder


The search for a good representation is a central problem of image processing, this paper explores a new transform type to solve this problem. Color Image compression is now essential for applications such as transmission and storage in data. In the field of medical diagnostics, interested parties have resorted increasingly to color medical imaging. It is well established that the accuracy and completeness of diagnosis are initially connected with the image quality. This paper introduces an algorithm for color medical image compression based on the bandelet transform coupled with SP?HT coding algorithm;bandelet transform is a new method based on capturing the complex geometric content in image. The goal of this paper is to examine the capacity of this transform proposed to offer an optimal representation for image geometric, In order to enhance the compression by our algorithm, we have compared the results obtained with bandelet transform application in satellite image field. For this reason, we evaluated two parameters known for their calculation speed. The first parameter is the PSNR; the second is MSSIM (structural similarity) to measure the quality of compressed image. We concluded that the results obtained are very satisfactory for color medical image domain.

Cite This Paper

Beladgham Mohammed, Habchi Yassine, Moulay Lakhdar Abdelmouneim, Abdesselam Bassou, Taleb-Ahmed Abdelmalik,"The Performance of Discret Bandelet Transform Coupled by SPIHT Coder to Improve the Visuel Quality of Biomedical Color Image Compression", IJIGSP, vol.6, no.5, pp. 64-72, 2014.DOI: 10.5815/ijigsp.2014.05.08


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