Optimization Of Digital Image Transfer: A Fusion Of Prediction Error Clustering, Random Permutation And GAP Algorithm

Security is one of the primary goals of each and every system.Images are communicated widely over the internet, and the security and privacy during image transfer has become the primary concern. The proposed framework is an optimized system for a secure digital image transfer. The system uses random permutation and prediction error clustering for encryption. The compression of those encrypted images is done using arithmetic coding.GAP algorithm is used for encryption. The system encrypts the image first and then compression is performed which is transmitted through the internet. Therandom permutation and prediction errorclustering enhances the security of the images.CALIC algorithm is used for image compression. The framework optimizes the resources andtime, and gives better compression ratios.