Title: Secured image compression using AES in bandelet domain
Authors: S.P. Raja; A. Suruliandi
Addresses: Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India ' Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India
Abstract: Compression and encryption are jointly used in network systems to improve efficiency and security. A secure and reliable means for communicating images and video is, consequently, indispensable for networks. In this paper, a new methodology is proposed for secure image compression. Initially, a bandelet transform is applied to the input image to obtain coefficients and kernel matching pursuits (KMPs) used to choose key bandelet coefficients. The coefficients obtained from the KMP are encrypted using the Advanced Encryption Standard (AES) and encoded using the listless set partitioning embedded block (listless SPECK) image compression encoding technique. For performance evaluation, the peak signal to noise ratio (PSNR), mean square error (MSE), structural similarity index (SSIM) and image quality index (IQI) are taken. From the experimental results and performance evaluation, it is shown that the proposed approach produces high PSNR values and compresses images securely.
Keywords: bandelet transform; kernel matching pursuits; KMPs; Advanced Encryption Standard; AES; listless SPECK; LSK.
DOI: 10.1504/IJCSE.2018.094930
International Journal of Computational Science and Engineering, 2018 Vol.17 No.2, pp.208 - 219
Received: 09 Jan 2016
Accepted: 24 Jun 2016
Published online: 27 Sep 2018 *