Permutation based Digital Image Encryption and Decryption Methods

According to research findings, a human brain decodes visual elements faster than text, thus increasing efficiency and effectiveness of communication. The growing popularity of micro-blogging and social networking sites, certainly tells the increase in sharing of posts with images. Image data or information is very crucial resource for any individual and has potential of getting misused. As there is no reliability over communication medium through which the information is sent, encryption is a way to ensure security. Image encryption techniques try to convert an original image to unreadable form, so an unauthorized access is not possible without a key. Over years, different image encryption schemes had been put forward as a medium to provide protection to digital images. The purpose of the work presented in paper is to study two image encryption techniques, namely, A secure image encryption algorithm based on Rubik's cube principle and A partial image encryption based on block wise shuffling using Arnold Map. The respective algorithms are implemented and evaluation parameters were calculated using MATLAB. Also, the comparison is made to analyze performances of both the techniques.