Aim: The research aims at performing noise removal in capturing wildlife photography by applying Bilateral Filter with improved accuracy compared to Gaussian Filter technique. Materials and Methods: The study contains application of Bilateral and Gaussian filters 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 Bilateral Filter algorithm with 86.9% while the Gaussian filter algorithm has shown an accuracy of 85.2%. The mean value is 86.9, mean accuracy detection is ±2SD Bilateral Filters and the significant value is .006 (p<0.05) from an independent sample T test from Sig 2-tailed. Conclusion: The final outcome of the Bilateral Filter (86.9%) algorithm is found to be significantly more accurate than the Gaussian Filter algorithm (85.2%).