W-CORE: a wavelet-based compression/reconstruction technique

During medical images transmission and storage, the big size of these files becomes a big obstacle to the implementation of telemedicine systems. A lot of effort has been done to solve this problem by compressing the medical images with minimum loss of information. Wavelet transform changed the way we represent the image into a collection of details at several different levels. That gave us the ability to choose the highest effective details in the image and get rid of others. With some additional techniques of saving space and correcting the artifacts produced by the reconstruction process, we were able to get some excellent results that reduced the image file size to less than a half without changing the file format which made these images still accessible to most of the commonly used image processing algorithms.