An adaptive mean denoising algorithm for pepper and salt noised image

Fengqing Qin; Kanglin Wei; Liang Yuan; Xiyi Zheng; Lilan Cao; Lihong Zhu; Chaorong Li; Yilan Xue; Yujie Hu

doi:10.1117/12.2680399

27 June 2023 An adaptive mean denoising algorithm for pepper and salt noised image

Fengqing Qin, Kanglin Wei, Liang Yuan, Xiyi Zheng, Lilan Cao, Lihong Zhu, Chaorong Li, Yilan Xue, Yujie Hu

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 1270527 (2023) https://doi.org/10.1117/12.2680399
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

To improve the quality of the pepper and salt noised image, an adaptive mean filter algorithm is proposed. Firstly, the appropriate filter window size is automatically selected according to the intensity of noise in the image. Secondly, whether each pixel is a pepper and salt noise point is detected . The noised point outputs the mean gray value of the unnoised pixels in the current window. The non-noised point outputs the original value. Thirdly, the denoising effect of the three algorithms was compared by simulation experiments, and the influence of different pepper and salt noise density on denoising effect was tested. From the objective and subjective judgement, the propose method achieves higher PSNR and better visual effect.

Citation Download Citation

Fengqing Qin, Kanglin Wei, Liang Yuan, Xiyi Zheng, Lilan Cao, Lihong Zhu, Chaorong Li, Yilan Xue, and Yujie Hu "An adaptive mean denoising algorithm for pepper and salt noised image", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 1270527 (27 June 2023); https://doi.org/10.1117/12.2680399

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