An Integrated Medical Image Compression Approach With Deep Learning And Binary Plane Difference

Image coding is treated as one of the important factor in multimedia communication and storage systems. In recent years with the rapid improvement in the usage of mobile internet there is a huge demand for developing a faster transmission of the multimedia data. Medical image compression has received greater importance due to its heavy demand for decreasing its size without disturbing the quality of it. Binary plane technique has attained attention in recent time due to its capability of compressing the image both in lossy and lossless modes and achieving higher quality than existing JPEG and SPIHT methods. In this paper, an effective approach of extracting the region (ROI) and non-region (NROI) of interest from MR brain images and then compress the ROI in loss less mode and NROI in lossy mode.