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浏览/检索结果: 共1条，第1-1条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 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. 收藏  |  浏览/下载：14/0  |  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.