Verification of denoising performance of edge-preserving noise reduction filter using fast M-estimation method

Y. Kondo; Y. Yamaguchi; H. Saito; I. Yoshida; M. Numada; H. Koshimizu

doi:10.1117/12.2592763

16 July 2021 Verification of denoising performance of edge-preserving noise reduction filter using fast M-estimation method

Y. Kondo, Y. Yamaguchi, H. Saito, I. Yoshida, M. Numada, H. Koshimizu

Author Affiliations +

Proceedings Volume 11794, Fifteenth International Conference on Quality Control by Artificial Vision; 117941F (2021) https://doi.org/10.1117/12.2592763
Event: Fifteenth International Conference on Quality Control by Artificial Vision, 2021, Tokushima, Japan

Abstract

Random noise injures both the basic image quality and also the following image processing procedures. The low-pass filter is commonly used as the image denoising. Low-pass filter can reduce noise; however, the edge becomes always blur as the side effect. In order to suppress this side effect, we proposed edge preserving noise reduction filter using Fast Mestimation method. As the Proposed method is applied experimentally to the noisy image, it was clarified that the noise was clearly reduced and the performance of edge preserving was realized at the same time. In this study, a quantitative evaluation of the denoising performance of the proposed method is obtained by varying the amount of noise applied and obtaining the denoising ratio.

Citation Download Citation

Y. Kondo, Y. Yamaguchi, H. Saito, I. Yoshida, M. Numada, and H. Koshimizu "Verification of denoising performance of edge-preserving noise reduction filter using fast M-estimation method", Proc. SPIE 11794, Fifteenth International Conference on Quality Control by Artificial Vision, 117941F (16 July 2021); https://doi.org/10.1117/12.2592763

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