Reduction of Correlation in 2D Image Encryption using Novel Gingerbreadman Chaotic Map in Comparison with Tinkerbell Map

Abstract

Aim: The objective of the work is to develop 2D Image Encryption using Novel Gingerbreadman chaotic encryption method for reducing the correlation and it is compared with Tinkerbell chaotic encryption method. Materials and Methods: Comparative analysis of correlation is performed by Novel Gingerbreadman Map where number of samples (N=10) and Tinkerbell map where number of samples (N=10) techniques with pre-test power of 80% using MATLAB software. Results: The correlation coefficient of novel gingerbreadman chaotic map is 0.00055 in vertical, 0.00189 in horizontal, 0.00080in diagonal direction and whereas the correlation coefficient of tinkerbell chaotic map is -0.00162 in vertical, 0.00277 in horizontal, -0.00140 in diagonal direction. There is a significant difference in the results obtained and considered to be error-free since it has the significance value of p=0.0375 ( p < 0.05 ) in SPSS analysis. Conclusion: The Novel Gingerbreadman chaotic map performs significantly better in reducing the correlation in 2D image encryption compared to Tinkerbell Chaotic map method.