Edges and hues keeping denoising algorithm for color images

Zhixue Lv; Fenfen Xue; Weixian Qian

doi:10.1117/12.2651927

23 January 2023 Edges and hues keeping denoising algorithm for color images

Zhixue Lv, Fenfen Xue, Weixian Qian

Proceedings Volume 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology; 125571Z (2023) https://doi.org/10.1117/12.2651927
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China

Abstract

Based on the unique color separation characteristics of HSI space, noise removal of color images contaminated by high noise is investigated. The color image is first projected into the color feature space HSI, and the color information is separated from the luminance feature information, and then the color components H and S in this space are processed by the distance threshold denoising method in polar coordinates to remove the noise without distorting the color. At the same time, the luminance feature component I is guided filtered to effectively remove the noise while preserving the edge information of the original image; finally, the corresponding inverse conversion is performed to obtain the final color image. The algorithm has some improvement in eliminating color noise, maintaining hue, and protecting image details compared with previous algorithms, which is more in line with the visual requirements of human eyes.

Citation Download Citation

Zhixue Lv, Fenfen Xue, and Weixian Qian "Edges and hues keeping denoising algorithm for color images", Proc. SPIE 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology, 125571Z (23 January 2023); https://doi.org/10.1117/12.2651927

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KEYWORDS

Image filtering

Denoising

Digital filtering

Optical filters

Image processing

Gaussian filters

RGB color model

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