Reduction of Correlation in 2D Image Encryption Using Novel Quadratic Chaotic Map in Comparison With Baker Map
Keywords:
Novel Quadratic chaotic map, Baker chaotic map, Image encryption, Correlation, Random Shuffling, Diffusion.Abstract
Aim: The aim of the research work is to develop 2D Image encryption using Novel Quadratic chaotic encryption method for reducing the correlation coefficient and it is compared with Baker chaotic encryption method. Materials and Methods: Comparative analysis of correlation is performed by Novel Quadratic Map where number of samples (N = 10) and Baker map where number of samples (N = 10) techniques with pre-test power of 80% using MATLAB software. Results: The correlation coefficient of novel quadratic chaotic map is 0.00304 in vertical, 0.00238 in horizontal, -0.00065 in diagonal direction and whereas the correlation coefficient of baker chaotic map is 0.00019 in vertical, 0.00196 in horizontal, 0.00115 in diagonal. There is a significant difference in the results obtained and were considered to be error-free since it has the significance value p = 0.045 ( p < 0.05 ) in SPSS analysis. Conclusion: The Novel Quadratic Chaotic Map performs significantly better in reducing the correlation in 2D image encryption when compared to Baker Chaotic map.