文章基本信息

标题：High quality model for compression of medical images in telemedicine
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作者：M. Moorthi ; R. Amutha
期刊名称：Scientific Research and Essays
印刷版ISSN：1992-2248
出版年度：2013
卷号：8
期号：41
页码：2022-2030
DOI：10.5897/SRE2013.5628
语种：English
出版社：Academic Journals
摘要：Generally lossless compression should be used for ROI (Region of Interest) and lossy compression should be used for ROB (Region of Background) with a lower quality. In existing system, Region of Interest (ROI) is selected manually, but ROI is selected automatically in the proposed method, pre-processing is done to improve the visual quality of the image. Segmentation is carried out accurately and efficiently using region growing followed by morphological processing method. The features are extracted and classification is done in medical image using Fuzzy logic. ROB part of an image is compressed using SPIHT (Set Partition In Hierarchical Tree) algorithm in near lossless manner. Finally the ROI is superimposed in compressed Non ROI (ROB) image. This method improves the compression ratio and increase the PSNR value compared to existing method. The proposed method is used for implementations of teleradiology and digital picture archiving and communications (PACS) systems practically.
关键词：Image compression; segmentation; wavelet decomposition; fuzzy logic ; decompression; compression ratio