Compression of Medical Images Using Lifting Haar Wavelet Transform for Teleradiology Applications

Mathematical transforms gain prominence in computer vision and image processing applications. Wavelet transform provides multiresolution analysis of signals and uses adaptive basis function that was tailored to the specific signal being analysed. In this research, the lifting wavelet transform is utilized to compress medical images. Compression of medical data play vital role in minimization of storage space for Tele radiology application. The lifting wavelet transform utilizes the lifting scheme, it is computationally less complex than discrete wavelet transform. This research work proposes compression of medical images using lifting Haar wavelet transform. The achieved outcomes were found to be satisfactory, and their performance metrics were thoroughly validated.