Probabilistic triangular shuffling approach in DWT based image compression scheme

In the image processing domain, researchers all over the world aim at designing algorithms which posses the feature of facilitating multiple advantages amalgamated in one scheme viz. compression, fusion, enhancement, security etc. In various classified applications such as military, medical, forensics etc, the image databases are huge and contain a lot of information. Hence, compression of these high-quality images and securing these databases becomes imperative. This paper proposes a Discrete Wavelet Transform (DWT) guided image compression as well as image security technique. The RGB color images are converted into textured images by exploiting DWT properties and thereby facilitating image compression. Since this process is reversible, the colors in the image are retrieved back from the texture patterns. In addition, the security of the image is enhanced based on a novel probabilistic triangular shuffling scheme. The overall proposed algorithm assists in achieving 67-70% compression ratio and improved security. Evaluating the performance of the algorithm, various graphs pertaining to PSNR, MSE, probability of security breach are realized.