文章基本信息

标题：Spatial based hybrid Image Compression for Telemedicine Application
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作者：M.Varun Kumar ; S.Venkata Krishnan ; M.Prabhakaran 等
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：11
出版社：S.S. Mishra
摘要：MRI (Magnetic Resonance Imaging) is used to scan humanely with the use of magnetic field which is 10,000 times greater than the earth's magnetic field. These images need more memory to store in database for e.g.: in hospital we needs at least 5 to 15 GB to store those images per day and also its need high bandwidth to transmit via network to monitor the patient condition. By reducing the size of the image will cause the quality so we need the efficient algorithm to retain its quality. For these problems the SPATIAL technique was introduced so this paper deals with SPATIAL based hybrid image compression. The most of the images contains the important part than the other regions. We are applying different algorithms to compress those image parts by clustering. Lossless compression is used to constrict the images and also we can decompress without changing the authentic of an image e.g.: zip, rar. In LOSSY compression we can decompress into original image but some details will be lost for these two reasons we apply these techniques in two regions SPATIAL and NON-SPATIAL in this paper we d iscussed how to identify these regions. The lossless compression is applied for SPATIAL region and LOSSY compression is applied to a NON-SPATIAL region. These compression regions can able to transmit via network with less bandwidth and also it can be easily reconstructed the diagnostic region for treatment
关键词：Spatial; lossless; LOSSY; clustering; MRI