Low Light Level Image Enhancement Based on Multi-layer Slicing Photon Localization Algorithm  被引量:2

Low Light Level Image Enhancement Based on Multi-layer Slicing Photon Localization Algorithm

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作  者:YING Changsheng ZHAO Peng YUE Dan LI Ye 

机构地区:[1]School of Science, Changchun University of Science and Technology [2]School of Computer Science and Technology, Jilin Normal University

出  处:《Chinese Journal of Electronics》2018年第3期521-526,共6页电子学报(英文版)

基  金:the "111" Project of China(No.D17017);the Key Laboratories Foundation Program(No.BJ2014009)

摘  要:Low light level(LLL) images, which were captured by Intensified CCD(ICCD) camera equipped with an image intensifier, suffer low spatial resolution and contrast due to noise and dispersion. By dividing the integration time into intervals short enough, we obtain photon images where photon formed spots were nearly nonoverlapping. In order to enhance LLL images, we propose a Multi-layer slicing(MLS) photon localization algorithm based on photon images. The photon image is sliced by different planes. Photon spatial distribution(PSD) information is acquired by using pro jected area ratio, circularity and the number of slices. The enhanced LLL image is obtained by accumulating time-domain correlated PSD images. Experimental results show that the visual effects,spatial frequencies and contrast of the enhanced image are significantly improved.Low light level(LLL) images, which were captured by Intensified CCD(ICCD) camera equipped with an image intensifier, suffer low spatial resolution and contrast due to noise and dispersion. By dividing the integration time into intervals short enough, we obtain photon images where photon formed spots were nearly nonoverlapping. In order to enhance LLL images, we propose a Multi-layer slicing(MLS) photon localization algorithm based on photon images. The photon image is sliced by different planes. Photon spatial distribution(PSD) information is acquired by using pro jected area ratio, circularity and the number of slices. The enhanced LLL image is obtained by accumulating time-domain correlated PSD images. Experimental results show that the visual effects,spatial frequencies and contrast of the enhanced image are significantly improved.

关 键 词:Noise Dispersion Spatial resolution Multi-layer slicing(MLS) Photon spatial distribution(PSD) 

分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] O572.31[自动化与计算机技术—计算机科学与技术]

 

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