Open AccessMethod of fusing dual-spectrum low light Level images based on gray-scale spatial correlation
Author(s) -
Chuang Zhang,
Lianfa Bai,
Yi Zhang
Publication year - 2007
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.56.3227
Subject(s) - artificial intelligence , computer science , grayscale , histogram , computer vision , correlation , image fusion , pattern recognition (psychology) , gray (unit) , pixel , image (mathematics) , mathematics , geometry , medicine , radiology
Gray-scale spatial correlation reflects the definition of images, and the main purpose of fusing images is to improve the definition of images. Based on the spectrum characteristics of low light level (LLL) whole-wave image and LLL short-wave image and the analysis of the one-dimension at gray-scale histograms and the two-dimensional gray-scale spatial correlation charts of LLL whole-wave image and LLL short-wave image, the new method of fusing dual-spectrum LLL images based on gray-scale spatial correlation is proposed. The method is realized by gray-scale selection based standard deviation and gray-scale statistics balance, and the method can effectively improve the definition of images and is easy to execute on hardware compared with gray-scale modulation method and spectrum-field method. The theorefical expressions of the fusion method are expatiated particularly, and the experiment results with different scenes are analyzed.