Abstract
The medical image compression plays an important role in digital image compression. Compression reduces the redundancy and encodes the data. To use different techniques and algorithms we can get the desired result. But it will depend on the used algorithm, which algorithm we have used in which circumstances. In this paper we have used SPIHT method with wavelet bior4.4 on brain surface medical image with different type of image parameters. And observe the result of this method with different types of image parameters at different level of iterations.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Paper version not known
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
