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ISSN 2063-5346
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A REALTIME NOISE REMOVAL IN CAPTURING WILDLIFE PHOTOGRAPHY USING MEDIAN FILTER COMPARED OVER GAUSSIAN FILTER WITH IMPROVED ACCURACY

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Katari Rahul, V. Karthick
» doi: 10.31838/ecb/2023.12.sa1.435

Abstract

Aim : The research aims at performing noise removal in capturing wildlife photography by applying Median Filter with improved accuracy compared to Novel Gaussian Filter technique. Materials and Methods: There are about a total of 104 samples out of which N= 52 samples are from the 1st group which is Median Filter and the remaining N= 52 are from the 2nd group which is the Gaussian Filter algorithm with G power as 80% for noise removal over images. Results: The performance has been improved in terms of accuracy for the Median Filter algorithm with 88.5% while the Novel Gaussian filter algorithm has shown an accuracy of 85.4% The mean value is 88.5, mean accuracy detection is ±1SD and the significant value is 0.534 (p>0.05) from an independent sample T test. Conclusion: The final outcome of the Median Filter (88.5%) algorithm is found to be significantly more accurate than the Gaussian Filter algorithm (85.4%).

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