Adaptive Improved Modified Riesz Mean Filter for Higher Density Salt and Pepper Noise Removal in Grayscale & Color Images

In image processing, median filtering is a widely used technique for removing salt and pepper noise, but it often struggles with preserving image details, especially at high noise levels. In this paper, an enhanced denoising method is presented based on the Modified Riesz Mean (MRM) function, which...

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Bibliographic Details
Published inElectrical and Computer Engineering (ICECE), International Conference on pp. 470 - 475
Main Authors Labiba, Fabliha, Rafeed, Sheikh Munkasir Ahmed, Iqbal, Abdullah Jubair Bin, Ahmed, Maruf
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.12.2024
Subjects
Adaptive
Color
Filtering
Gray-scale
Grayscale Image
Measurement
Modified Riesz Mean
Noise
Noise level
Noise reduction
PSNR
Reliability engineering
RGB Color Image
Salt
Salt and Pepper Noise
SSIM
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Summary:In image processing, median filtering is a widely used technique for removing salt and pepper noise, but it often struggles with preserving image details, especially at high noise levels. In this paper, an enhanced denoising method is presented based on the Modified Riesz Mean (MRM) function, which significantly outperforms median filtering and other state-of-the-art methods, particularly in cases with noise levels between 60 \% and 90 \%. Our approach is effective on both grayscale and color images, and scales efficiently to larger dimensions. The effectiveness of this method lies in its adaptive windowing and reduced computational overhead. It achieves mean SSIM values above 0.88 recorded at high noise density range for both grayscale and color images. These results demonstrate the versatility and the superior performance of the proposed algorithm in denoising and enhancing image quality, making it a reliable choice for image processing tasks.
ISSN:2771-7917
DOI:10.1109/ICECE64886.2024.11024825