• Dr. P. Sreenivasulu
• Sk. Asreen
• T. Sireesha
• P.Mahavi
• S.Michael

Large volumes of medical images data are being collected, communicated and archived in the modern medical imaging era, making the development of effective image compression techniques for both 2D and 3D pictures necessary. To facilitate remote healthcare services, the compression of medical pictures is a crucial technique. More precise information from a picture is needed for medical diagnoses provided by these services. As any type of compression method has the feature that the compression rate and image quality are inversely related , one of those attributes (quality or compression rate) must be sacrificed. Region of Interest (ROI) codec are developing in this environment to lower this proportionality, resulting in an increased compression rate without sacrificing quality.

: Lossless image, Compression rate, ROI, SPIHT technique, Biological image.

"Lossless ROI image compression using shearlet transform and spiht encoding", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.b459-b466, May-2023, Available :http://www.jetir.org/papers/JETIR2305161.pdf

"Lossless ROI image compression using shearlet transform and spiht encoding", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppb459-b466, May-2023, Available at : http://www.jetir.org/papers/JETIR2305161.pdf