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长春光学精密机械与物... [1]
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会议论文 [1]
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2006 [1]
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专题:长春光学精密机械与物理研究所
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Wavelet packet and neural network basis medical image compression (EI CONFERENCE)
会议论文
4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China
Zhao X.
;
Wei J.
;
Zhai L.
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提交时间:2013/03/25
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.
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