Enhancing Robustness of Image Encryption Algorithms with Adaptive Approach
To improve the robustness of image encryption algorithms, we propose a novel adaptive image encryption technique. This algorithm partitions grayscale or color images of arbitrary sizes into 2×2 sub-blocks. Using pixel intensity values from the top-left sub-block and Chebyshev chaotic mapping, we construct a matrix matching the dimensions of the top-right sub-block for pixel value substitution. The encryption process follows a clockwise pattern until all sub-blocks including the top-left are processed. Implementation involves creating dynamic encryption keys through chaotic systems and applying pixel-level transformations using matrix operations, making the algorithm size-independent and suitable for both grayscale and color images with enhanced diffusion and confusion properties.