A FRLTA based reconstruction technique for bio medical image compression

Medical images contain more data and therefore, to save the transmission time, storage capacity and saving the time, an efficient image compression method is required. In this work we introduce a new algorithm for image compression decompression (reconstruction) based on JPEG 2000 standards. The proposed algorithm is named as Decompression based composite splitting Algorithm (DBCA) which is the combination of the RLTA (Repetitive Loss-Thresholding algorithm) and DDA (Denoising Dividing Algorithm). In the first step of the proposed algorithm, the image is divided into sub-parts. These sub-parts of the image are treated as smaller size minimization problem. Each sub part of the image reconstructed individually and finally all the reconstructed parts of the image are combined together to get the reconstructed image. The visual and mathematical results are shown which are superior to the existing method for image compression and reconstruction.