Aim: To enhance the distortion measure of encoded images in the process of Image steganography using a Genetic Algorithm(GA) by comparison with the OpenCV Algorithm. Methods and Materials: The two different groups are OpenCV Algorithm (N=10) and Genetic Algorithm (N=10). G-power is computed for two different groups, alpha (0.05), power (80%). Results: The Peak Signal to Noise Ratio value is used to measure distortion, and the value for the Genetic Algorithm is 54. The independent sample T-Test (???? = .001) value (p<0.05) with a confidence level of 95% is statistically fulfilled for the two techniques Genetic and OpenCV Algorithms. Conclusion: Compared to OpenCV Algorithm, the distortion measure seems to be better in the Genetic Algorithm.