A Wavelet Based Biomedical Image Compression with Roi Coding

Medical images are the high quality critical images with high resolution. To improve the effectiveness of different processes on medical images, it is required to reduce the size of images. Compression or encoding mechanisms can be applied to reduce the image size. But the challenge is here to preserve the important image information. In this work, a DCT and DWT based hybrid model is defined to perform medical image compression. To analyze the effectiveness of this model, the ROI extraction on compressed image is performed. The experimentation here is applied on brain images. The obtained results shows that the presented work has provided the visually effective ROI extraction on compressed medical images. The experimentation on multiple images is performed in terms of compression ratio, MSE and PSNR value analysis.