Abstract Telemedicine is one of the emerging fields in medi cine which is characterized by transmitting medical data and images between different users. The medical images which are transmitted over the internet require huge bandwidth. Even images of single patient are found to be very huge in size due to resolution factor and number of imag es per diagnosis. So, there is an immense need for efficient compression techniques that can be used to compress these medic al images. In medical images, only some of the regions are considered to be more important than the others (e.g., tumor in brain Magnetic Resonance Imaging (MRI)). This paper reviews the ap plication of ROI coding in the field of telemedicine. The image coding is done using Wavelet Transform (WT) based on Listless Speck (LSK). The Region of Interest (ROI) is obtained from user interaction and coded with the user given resolutio n to get high Compression Ratio (CR). In our propos ed method, instead of decompressing all the blocks, we decompress only th e similar blocks based on the index valued stored on the stack. Thus, our proposed method efficiently compresses the medical image. The performance measure can be analyzed by u sing Peak Signal to Noise Ratio (PSNR). The execution time of the pr oposed method will be reduced when compare to the o ther existing methods. The experimental result shows that the app lication of ROI coding using LSK brings about high compression rate and quality ROI.  

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