Laser image denoising technique based on multi-fractal theory

Lin Du; Huayan Sun; Weiqing Tian; Shuai Wang

doi:10.1117/12.2055779

21 February 2014 Laser image denoising technique based on multi-fractal theory

Lin Du, Huayan Sun, Weiqing Tian, Shuai Wang

Proceedings Volume 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013; 91421V (2014) https://doi.org/10.1117/12.2055779
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held July-December 2013, 2013, SuZhou, China

Abstract

The noise of laser images is complex, which includes additive noise and multiplicative noise. Considering the features of laser images, the basic processing capacity and defects of the common algorithm, this paper introduces the fractal theory into the research of laser image denoising. The research of laser image denoising is implemented mainly through the analysis of the singularity exponent of each pixel in fractal space and the feature of multi-fractal spectrum. According to the quantitative and qualitative evaluation of the processed image, the laser image processing technique based on fractal theory not only effectively removes the complicated noise of the laser images obtained by range-gated laser active imaging system, but can also maintains the detail information when implementing the image denoising processing. For different laser images, multi-fractal denoising technique can increase SNR of the laser image at least 1~2dB compared with other denoising techniques, which basically meet the needs of the laser image denoising technique.

Citation Download Citation

Lin Du, Huayan Sun, Weiqing Tian, and Shuai Wang "Laser image denoising technique based on multi-fractal theory", Proc. SPIE 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013, 91421V (21 February 2014); https://doi.org/10.1117/12.2055779

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