Reduction of Correlation in 2D Image Encryption using Novel Baker Chaotic Map in Comparison with Ikeda Map

Abstract

Aim: The objective of the work is to develop 2D Image Encryption using Novel Baker chaotic encryption method for reducing the correlation and it is compared with Ikeda chaotic encryption method. Materials and Methods: Comparative analysis of Correlation is performed by Novel Baker Map where number of samples (N = 10) and Ikeda map where number of samples (N = 10) techniques with pre-test power of 80% using MATLAB software. Results: The correlation coefficient of Novel baker chaotic map is 0.00019 in vertical, 0.00196 in horizontal, 0.00115 in diagonal directions and whereas the correlation coefficient of ikeda chaotic map is 0.00126 in vertical, 0.00062 in horizontal, -0.00093 in diagonal. There is a significant difference in the results obtained for correlation and were considered to be error-free since it has the significance value p = 0.048 ( p < 0.05) in SPSS statistical analysis. Conclusion: The Novel Baker Chaotic map was found not to be significantly better in reducing correlation in 2D image encryption when compared to Ikeda chaotic map.