Secured image compression using AES in bandelet domain
by S.P. Raja; A. Suruliandi
International Journal of Computational Science and Engineering (IJCSE), Vol. 17, No. 2, 2018

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.

Online publication date: Thu, 27-Sep-2018

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