Aim: The research aims at performing noise removal in capturing wildlife photography by applying Gaussian Filter with improved accuracy compared to Gabor Filter technique. Materials and Methods: The study contains application of Gabor filter and Gaussian filter for attaining noise removal over images and are the two groups which contain 104 samples in total. These 104 samples are divided as 52 each and the sampling technique Results: The performance has been improved in terms of accuracy for the Gabor Filter algorithm with 90.5% while the Gaussian filter algorithm has shown an accuracy of 86.9%. The mean value is 90.5, mean accuracy detection is ±2SD and the significant value is 0.000 (p<0.05) which shows the hypothesis is correct and it is carried out using an independent sample T test. Conclusion: The final outcome of the Gabor Filter (90.5%) algorithm is found to be significantly more accurate than the Gaussian Filter algorithm (86.9%).