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  • 标题:Region of Interest Based Image Compression
  • 本地全文:下载
  • 作者:PratikChavada ; Narendra Patel ; KanuPatel
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:1
  • 出版社:S&S Publications
  • 摘要:The basic goal of region of interest (ROI) based co mpressio n for medical image is to enhance the compression efficiency for transmission and storage.Main goal of Region of interest(ROI) co mpressio n is to compressROI with supreme quality as compared to other region called Background. For an example, while compressing medical image the diagnostically important region sho uld be compressed with better q uality than background. Thus, the ROI area is compressed with less compression ratio and the background with the highest possible compression ratio in order to get overall better compression performance. As a part of ROI compression technique algorithm is developed using discrete cosine transform and Wavelet transform. A detailed analysis is carried out on the basis of parameters like co mpression ratio(CR),mean square error(MSE) and peak signal to noise ratio(PSNR). Advantage of ROI compression over conventional compression scheme is to improve quality of ROI with less value of MSE and PSNR.
  • 关键词:Region of interest;Image compression; DWT; JPEG; PSNR; MSE;Compression ratio.
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