@article{article_1106823, title={A Color Image Scrambling Method Based on Zigzag Transform and Cross-channel Permutation}, journal={Avrupa Bilim ve Teknoloji Dergisi}, pages={91–95}, year={2022}, DOI={10.31590/ejosat.1106823}, author={Demirtas, Mehmet}, keywords={color image encryption, cross-channel permutation, image scrambling, tent map, zigzag transform.}, abstract={It is a challenging task to maintain the privacy and security of color images that are shared over public networks. To address this challenge, image encryption methods can be used to protect the confidentiality of the shared image. As a part of spatial domain-based image encryption, the scrambling process aims to reduce the correlation between adjacent pixels. Furthermore, the correlation between different channels of an RGB color image can be decreased by applying a cross-channel permutation. To achieve both decorrelations, this paper presents a new image scrambling method that is based on zigzag transform and cross-channel permutation. Firstly, a color image’s red, green, and blue channels are obtained, and the zigzag transform is applied to each channel, respectively. The transformed channels are concatenated for further shuffling. A chaotic tent map is employed to create the necessary parameters to perform cross-channel permutation. The cross-channel permutation ensures swapping pixels between different channels. Performance measures of the proposed method show that the correlation coefficients of an RGB image can be significantly reduced. The information entropy of each channel is also greatly increased with this method. The average execution time is found to be less than 0.08 s for a 256 x 256 color image, indicating that the proposed method can be used in image encryption applications.}, number={36}, publisher={Osman SAĞDIÇ}