Denoising and wavelet compression of X-ray image for teleradiology

The Teleradiology solution is the provision of medical care over long distances by way of videoconferencing and other communication technologies to best consultancy for diagnosis. For teleradiology, image size & noise improvement is challenging research topic. Mostly X- ray images are often corrupted by noise due to a noisy channel or faulty image acquisition device. In this paper proposing median filter methods are used for denoising and wavelet based compression is implementated for transmission. The wavelet based method used in this paper is Set Partitioning in Hierarchical Trees Algorithm (SPIHT) which is a type of Multiwavelet transforms. The image quality of the system has been evaluated based on compression ratio, peak signal to noise ratio and entropy.