The Efficacy of the Mean Filter on the Noise Reduction of Digitalized Images
Received: 5 March 2025 | Revised: 9 April 2025 | Accepted: 15 April 2025 | Online: 2 August 2025
Corresponding author: Kurugal Munikempanna Nagaraja
Abstract
Digital Image Processing (DIP) involves the use of a digital computer to process images, where noise introduced during transmission is reduced using suitable filters. Noise reduction is crucial as image quality directly affects result accuracy. This study explores various filters on common images with different types of noise. The Power Exponential Mean (PEM) filter shows strong correlation performance on the Hilbert-curve image with consistent parameters. The results indicate that PEM filters are robust, outperforming other spatial mean filters. PEM maintains performance even with changing image resolution, proving its reliability. It also preserves image structure, luminosity, and granularity, even at large kernel sizes. Many filters degrade at larger kernel sizes, but PEM retains image information. The quantitative evaluation utilized MSE, PSNR, CoC, and MAE, with MATLAB 14b for assessment.
Keywords:
PSNR, MSE, CoC, MAE, noise, mean filtersDownloads
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Copyright (c) 2025 Manne Ramanna Chowdappa, Udaya Kumara Kodipalya Nanjappa, Sreenivasa Reddy Perla, Kurugal Munikempanna Nagaraja, Venkataramana B. Siddappa, Sampathkumar Ramachandraiah

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