Image compression is used to reduce the number of bits required to represent an image or video sequence. A compression algorithm takes an input X and generates compressed information that requires fewer bits. The decompression algorithm reconstructs the compressed information and provides the original. Medical image compression is an important area of ​​biomedicine and telemedicine. In medical applications the study of images and data compression are rapidly developing, a field with increasing applications is teleradiology, biomedicine, telemedicine. Medical image compression and data image analysis could be even more useful and can play a main task for diagnosing more complicated and difficult images through expert consultation [2]. In medical image compression, diagnosis and analysis simply work well when compression techniques protect all key image information needed for storage and transmission, called lossless compression. the other scheme is lossy compression, it is more efficient in terms of storage and transmission needs, but there is no guarantee of preserving the information in the characteristics needed in medical diagnosis. To avoid the above problem, it is diagnostically important that image transmission and storage are compressed without data loss. . Region of Interest (ROI) is a very useful segmentation approach for diagnostic purposes. These regions of interest must be compressed by nearly lossless compression algorithms. Wavelet-based techniques represent the latest development in the field of medical image compression.2. EXISTING METHOD: Region of interest is an important feature provided by the jpeg 2000 standard. The entire image is encoded as a single entity by several fidelity constraints. This...... half of the document...... The lossless compression method includes run length encoding and LZW (Lempel Ziv Welch). This method proposes lossy compression scheme compared to lossless compression scheme because in lossy compression technique it provides better compression ratio than lossless scheme. Step 5: Integer multiple wavelet transformation The IMWT is proposed for the integer implementation of multi wavelet system based on multi scalar function.Step 6: Decompressed imageIn this decompression process the encoded binary data can be extracted which is compressed.4. RESULTS: The original image is taken as a certifying image of the size 256 CONCLUSION: In this paper the focus is on the implementation of lossless image data codec, when the input image data is encrypted