中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Wavelet packet and neural network basis medical image compression (EI CONFERENCE)

文献类型:会议论文

作者Zhao X. ; Wei J. ; Zhai L.
出版日期2006
会议名称4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005
会议地点Tianjin, China
关键词It is difficult to get high compression ratio and good reconstructed image by conventional methods we give a new method of compression on medical image. It is to decompose and reconstruct the medical image by wavelet packet. Before the construction the image use neural network in place of other coding method to code the coefficients in the wavelet packet domain. By using the Kohonen's neural network algorithm not only for its vector quantization feature but also for its topological property. This property allows an increase of about 80% for the compression rate. Compared to the JPEG standard this compression scheme shows better performances (in terms of PSNR) for compression rates higher than 30. This method can get big compression ratio and perfect PSNR. Results show that the image can be compressed greatly and the original image can be recovered well. In addition the approach can be realized easily by hardware.
收录类别EI
源URL[http://ir.ciomp.ac.cn/handle/181722/33804]  
专题长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式
GB/T 7714
Zhao X.,Wei J.,Zhai L.. Wavelet packet and neural network basis medical image compression (EI CONFERENCE)[C]. 见:4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005. Tianjin, China.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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