Wavelet packet and neural network basis medical image compression
2006
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.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
0
References
0
Citations
NaN
KQI