Beta and Logistic Function Driven Encryption for Compressed Images

The cloud-based data storage scenario is continually demanding more storage space with the increasing use of images from various sources, in this way the information should be compacted likewise with the security. Representing an image by using a lesser number of bits and too without much compromise of the image quality is known as faithful image compression. Compressing files will conserve disk space, speed up file transmission, and reduce expenses for computer equipment and communication bandwidth. The current manuscript presents the idea of combining the phenomenon of Beta and Logistic based chaos for encryption with a powerful compression scheme DWT-SPIHT. DWT is being used to reduce the image file size without reducing the quality, resulting in higher resolution. SPIHT is a technique that incorporates the implicit similarities in a wavelet decomposition of an image across the sub-bands for compression. It is among the most effective technique for the compression of images dependent on wavelets. The fundamental advantage of the DWT-SPIHT with Beta and chaos strategy is decent picture quality with less mean square error. The validity of the method is demonstrated and analyzed with the help of some common metrics such as compression rate, PSNR, MSE, and correlation coefficient.