• Akanksha Kumari
• Prof. Kavita kamerikar

Image compression is important image handling assignment. Image processing help many sector to identify problems. Medical imaging is on the simplest technique for observation the patient health condition. CT or magnetic resonance imaging medical imaging produce digital kind of physical body photos. In medical image once some portion of image is to be selected, and then ROI is chosen with the assistance of discrete cosine transform. It’s used with the ROI method to compress the medical image to get rid of the interference result. This paper proposed HAAR & SPHIT algorithm for medical image compression. Simulation is done using MATLAB software. Result calculates in terms of MSE, PSNR, and compression ratio with simulation time.

PSNR, MSE, Haar Wavelet Transform, Discrete Cosine Transform, Region of Interest

"An Adaptive Transform Approach for Image Compression Using HAAR & SPHIT Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.263-267, June 2019, Available :http://www.jetir.org/papers/JETIR1907D41.pdf

"An Adaptive Transform Approach for Image Compression Using HAAR & SPHIT Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp263-267, June 2019, Available at : http://www.jetir.org/papers/JETIR1907D41.pdf