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  • 标题:HYBRID MEDICAL IMAGE COMPRESSION: SURVEY
  • 本地全文:下载
  • 作者:Rahul Sharma ; Chandrashekhar Kamargaonkar ; Monisha Sharma
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2016
  • 卷号:5
  • 期号:4
  • 页码:1036-1038
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Medical imaging produces digital form of human body pictures. There exists a need for compression of these images for storage and communication purposes. Current compression schemes provide a very high compression rate with a considerable loss of quality. In medicine, it is necessary to have high image quality in region of interest, i.e. diagnostically important regions. This work discusses a hybrid model of lossless compression in region of interest with high compression rate, lossy compression in other regions. The hybrid technique provides efficient and accurate coding of the medical images. The use of computers for handling image data in the healthcare is growing. The amount of data might be a problem from a storage point of view or when the data is sent over a network. To overcome these problems data compression techniques adapted to these applications are needed.These are few methods which are used in image compression.
  • 关键词:AMBTC; DAUBECHIES WAVELET; ; IMAGE COMPRESSION; SPHIT
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