Theory and experimental study on low-light-level images by adaptive mode filter

Lianfa Bai; Baomin Zhang; Yunfen Liu; Qian Chen

doi:10.1117/12.253395

30 September 1996 Theory and experimental study on low-light-level images by adaptive mode filter

Lianfa Bai, Baomin Zhang, Yunfen Liu, Qian Chen

Proceedings Volume 2898, Electronic Imaging and Multimedia Systems; (1996) https://doi.org/10.1117/12.253395
Event: Photonics China '96, 1996, Beijing, China

Abstract

Real-time low light level (LLL) image processing technology is the important developmental subject in the area of LLL night vision. But there is an essential distinction between the LLL TV image and ordinary TV image, so the conventional digital image processing technique aren't suitable for LLL image. In this paper, the noise theoretical model of LLL imaging system is described and the LLL image processing system is set up. With regard to the characteristics of LLL image and its noise, a novel noise suppression method, adaptive mode filter, is presented. The experimental results show that the adaptive mode filter can suppress the sharp noise of LLL image effectively, and as for the protection of the image edge, the property of adaptive mode filter is better that of median filter. Finally, the processing results and the conclusions are given.

Citation Download Citation

Lianfa Bai, Baomin Zhang, Yunfen Liu, and Qian Chen "Theory and experimental study on low-light-level images by adaptive mode filter", Proc. SPIE 2898, Electronic Imaging and Multimedia Systems, (30 September 1996); https://doi.org/10.1117/12.253395

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