Open AccessLow Light Level Image Enhancement Based on Multi‐layer Slicing Photon Localization Algorithm
Author(s) -
Ying Changsheng,
Zhao Peng,
Yue Dan,
Li Ye
Publication year - 2018
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2018.02.020
Subject(s) - slicing , layer (electronics) , image (mathematics) , algorithm , computer science , photon , computer vision , materials science , optics , physics , computer graphics (images) , nanotechnology
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 projected 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.