A Review and Taxonomy on Image Encryption Techniques

A Review and Taxonomy on Image Encryption Techniques

Iram1, Prof. Pankaj Raghuwanshi2

Abstract— Data Encryption has been one of the pivotal domains for research.  For a long time is has happened to be a field of enormous research work because of its aspect of strong data protection. Initially data used to be handled in text formats only, but with time and advancement, data became available in various other formats as well other than just text. With progress in technology, the advent of digital images also started becoming rampant on a rapid scale. They are implemented in diverse systems of communication. Encryption concept also started getting prominence as a part of safeguarding method. A number of encryption algorithms have been put forth and have been tested with respect to their robustness and efficacy. Image degradation due to continuous capture and transmission has also been looked upon, in order to minimize the noise impact. This paper outlines the basics of digital image processing and allied concepts with its principle highlight on image encryption methods and the different kinds of noise laying impact on the images.

Keywords— Image Processing, Image Encryption, Image Compression, Transform Domain, Chaotic Neural Network (CNN), Discrete Cosine Transform (DCT), Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE).