The Performance of Discret Bandelet Transform Coupled by SPIHT Coder to Improve the Visuel Quality of Biomedical Color Image Compression
| Autor: | Abdesselam Bassou, Taleb Ahmed Abdelmalik, Habchi Yassine, Moulay Lakhdar Abdelmouneim, Beladgham Mohammed |
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| Rok vydání: | 2014 |
| Předmět: |
Bandelet
Image quality business.industry Binary image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Top-hat transform Image processing Image (mathematics) Set partitioning in hierarchical trees Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business Image compression Mathematics |
| Zdroj: | International Journal of Image, Graphics and Signal Processing. 6:64-72 |
| ISSN: | 2074-9074 |
| DOI: | 10.5815/ijigsp.2014.05.08 |
| Popis: | 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 SPI 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 |
| Databáze: | OpenAIRE |
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