A motion deblurring method with long/short exposure image pairs

Guangmang Cui; Weiping Hua; Jufeng Zhao; Xiaoli Gong; Liyao Zhu

doi:10.1117/12.2295556

12 January 2018 A motion deblurring method with long/short exposure image pairs

Guangmang Cui, Weiping Hua, Jufeng Zhao, Xiaoli Gong, Liyao Zhu

Proceedings Volume 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 106201O (2018) https://doi.org/10.1117/12.2295556
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China

Abstract

In this paper, a motion deblurring method with long/short exposure image pairs is presented. The long/short exposure image pairs are captured for the same scene under different exposure time. The image pairs are treated as the input of the deblurring method and more information could be used to obtain a deblurring result with high image quality. Firstly, the luminance equalization process is carried out to the short exposure image. And the blur kernel is estimated with the image pair under the maximum a posteriori (MAP) framework using conjugate gradient algorithm. Then a L0 image smoothing based denoising method is applied to the luminance equalized image. And the final deblurring result is obtained with the gain controlled residual image deconvolution process with the edge map as the gain map. Furthermore, a real experimental optical system is built to capture the image pair in order to demonstrate the effectiveness of the proposed deblurring framework. The long/short image pairs are obtained under different exposure time and camera gain control. Experimental results show that the proposed method could provide a superior deblurring result in both subjective and objective assessment compared with other deblurring approaches.

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Guangmang Cui, Weiping Hua, Jufeng Zhao, Xiaoli Gong, and Liyao Zhu "A motion deblurring method with long/short exposure image pairs ", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106201O (12 January 2018); https://doi.org/10.1117/12.2295556

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KEYWORDS

Image quality

Image processing

Cameras

Deconvolution

Image analysis

Image restoration

Signal to noise ratio

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