• Dr.P.Sreenivasulu
• N. Anusha
• P.Manohar
• B. Lokeshwar
• K.Pavan Kalyan5

Many medical applications struggle with image compression. ways of compression that are delivering the higher quality image components. Only a small part of the medical photos may be helpful for diagnosis. In this research, we have suggested a method to compress the image without lossless version using Shearlet coefficient and ROI (Region of interest) detection in order to improve the ratio of image compression. Using modified OTSU Algoritm, the input image is first divided into three areas: ROI, Non-ROI, and Background. Shearlet coefficients are then extracted for ROI and Non-ROI regions using the shearlet transform. The ROI region is subsequently compressed using Huffman coding, and the non-ROI region is compressed using SPIHT coding.Direct zero conversion is performed on the irrelevant regions. Additionally, the image is being reversibly rebuilt up to the desired quality using the inverse shearlet transform and decoding techniques.When compared to existing techniques, experimental results show that the shearlet-based proposed image compression framework has outperformed them by having an average PSNR value of 67.3 dB and an average compression ratio of 8.36.

Compression,OTSU Shearlet, ROI, Non-ROI, Background, SPIHT, Huffman.

"MEDICAL IMAGE COMPRESSION USING WAVELET BASED MODIFIED OTSU ALGORITHEM AND REGION OF INTEREST DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.b510-b517, May-2023, Available :http://www.jetir.org/papers/JETIR2305169.pdf

"MEDICAL IMAGE COMPRESSION USING WAVELET BASED MODIFIED OTSU ALGORITHEM AND REGION OF INTEREST DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppb510-b517, May-2023, Available at : http://www.jetir.org/papers/JETIR2305169.pdf