Aim: The aim of this research work is to detect the presence of brain tumor using Stationary wavelet transform and comparing the peak signal to noise ratio (PSNR) between maximum and average fusion rule algorithm. Materials and Methods: The sample images were taken from kaggles website. Samples are considered as N=20 for maximum rule and N=20 for average rule algorithm in accordance with total sample size calculated using clinicalc.com by keeping alpha error-threshold value 0.05, enrollment ratio as 0.1, 95% confidence interval, G power as 80% . The PSNR is calculated by using the MATLAB Programming with a standard data set. Results: Comparison of PSNR is done by independent sample t-test using SPSS software. There is a statistical significant difference between maximum fusion rule and average fusion rule algorithm, that showed better results in maximum fusion rule algorithm. The comparison of two means of the algorithms were found to be statistically significant (p<0.05). Conclusion: Maximum rule algorithms were found to give higher PSNR than in average fusion rule algorithms for the detection of the brain tumor.