Abstract
In this research work, ROI-based grayscale image encryption with chaos is proposed. First, ROI areas are identified using Sobel edge detection operator and categorized into important and unimportant regions based on number of edges present in the particular block. Next, the important regions are encrypted with Lorenz system (both confusion and diffusion process) and unimportant regions are encrypted using Sine map. Finally, the entire image is shuffled by Lorenz system with new initial conditions to get final encrypted image. The significant advantage of this research work is that important and unimportant regions are encrypted separately with different chaos equation and system which increases the security of the image and also the end user can vary the important regions depends upon the requirements. The experimental results show that the proposed encryption approach provides better results for different cryptographic attacks.
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Sankaradass, V., Murali, P., Tholkapiyan, M. (2019). Region of Interest (ROI) Based Image Encryption with Sine Map and Lorenz System. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_49
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DOI: https://doi.org/10.1007/978-3-030-00665-5_49
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