Adaptive Partial Image Encryption Technique Based on Chaotic Map

In this paper an adaptive partial image encryption technique has been proposed based on Chaotic Map generation. Gray scale image is decomposed into its corresponding binary eight biplanes. Among the biplanes, the significant biplanes are determined for scrambling. All the biplanes are encrypted and scrambled by applying Pseudo Random Binary Number Generator using the recurrence relation of skew tent map based on Chaos. The significant biplanes are encrypted through triangularization technique. All scrambled biplanes along with encrypted significant biplanes are recombined to generate cipher image. In order to evaluate performance, the proposed algorithm is measured through a series of tests has been applied on to measure the security and effectiveness of the algorithm. These are visual test through histogram analysis, measures of central tendency and dispersion, correlation-coefficient analysis, key sensitivity test, key space analysis, information entropy test, which show that the proposed technique outperforms compared to the existing techniques.