Multi View Compressed Images Based On Distributed Coding Scheme?

Joint reconstruction is a process in which the compressed and encrypted image can be reconstructed sequentially. This paper analyses various methods of joint reconstruction techniques and its performance. The main objective is to provide security through encryption and efficiency via compression. These are normally applicable in secure medical image sharing system. In this paper, Prediction error clustering and random permutations can be exploited to encrypt the images. Then an arithmetic coding based approach is proposed for compressing the encrypted images. To recover the original image, joint reconstruction is applied. Theoretical result shows that reasonably high level of security has been attained. By using this approach, the compression efficiency obtained is close to that of state-of-the-art lossless/lossy image codec.