Chaotic Based Technique for Partial Image Encryption
Mona M. Elkady, Mustafa M. Abd Elnaby, Amr H. Hussein, Hatem Mohamed Abdul Kader · 2016
Selective or partial encryption of images can greatly reduce the computational complexity and execution time by encoding just a small amount of the image pixels. The selected image pixels correspond to the image region of interest. In this paper, a Chaotic and Cipher based technique for selective encryption of images is introduced. In this technique, the low correlated pseudo random number sequences, the Advanced Encryption Standard (AES), and Arnold Cat Map (ACM) permutation techniques are utilized. For a given image, the rows and columns of the image are summed individually to form two vectors named vertical and horizontal vectors respectively. Then, the subsequent vertical and horizontal vectors are summed once more to form the overall summation vector which reflects the amount of information distribution within the image. The mean of the summation vector is calculated. The intersection of mean line and the summation curve builds up different regions above and beneath the mean line. The areas of these regions are computed separately. The largest area is taken as the sensitive area. The simulation results indicate that the proposed technique is less time consuming and more robust than the traditional full image encryption techniques.