An overview of digital image analog noise removal based on traditional filtering

Yiqun Ma; Tianshuo Zhang; Xin Lv

doi:10.1117/12.2681115

8 June 2023 An overview of digital image analog noise removal based on traditional filtering

Yiqun Ma, Tianshuo Zhang, Xin Lv

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127072Q (2023) https://doi.org/10.1117/12.2681115
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

Due to interference in the transmission of external equipment, images can suffer from varying noise concentrations. As an immediate and practical step to reduce the impact of noise on an image and to improve its quality and visual presentation, filtering is the best method. The paper examines how traditional filtering methods restore a digital image under salt and pepper and Gaussian noise interference. Also included in this paper is an analysis of the advantages and challenges of traditional noise filtering, as well as suggestions for a filtering method for a variety of noise levels. Lastly, the effects of filtered noise pictures are evaluated through extensive experimental simulations, providing substantial assistance for related research.

Citation Download Citation

Yiqun Ma, Tianshuo Zhang, and Xin Lv "An overview of digital image analog noise removal based on traditional filtering", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127072Q (8 June 2023); https://doi.org/10.1117/12.2681115

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