Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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This paper presents a new enhancement approach for infrared images. The idea behind this technique is based on that modifies the local luminance mean of an image and controls the local contrast as a function of the local Luminance mean of the image. The algorithm first separates an image into LPF (low pass filtered) and HPF (high pass filtered) components. The LPF component then controls the amplitude of the HPF component to increase the local contrast. The LPF component is then subjected to a non linearity to modify the local luminance mean of the image and is combined with the processed HPF component. Finally, this approach is enhanced to get an infrared image with better visual details.
H. I. Ashiba. 2016. \u201cEnhancement of Infrared Images using Nonlinear Model\u201d. Global Journal of Science Frontier Research - A: Physics & Space Science GJSFR-A Volume 16 (GJSFR Volume 16 Issue A2): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
Total Score: 104
Country: Egypt
Subject: Global Journal of Science Frontier Research - A: Physics & Space Science
Authors: H. I. Ashiba, H.M. Mansour, M.F. El-Kordy, H.M.Ahmed (PhD/Dr. count: 0)
View Count (all-time): 145
Total Views (Real + Logic): 3978
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Publish Date: 2016 03, Tue
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This paper presents a new enhancement approach for infrared images. The idea behind this technique is based on that modifies the local luminance mean of an image and controls the local contrast as a function of the local Luminance mean of the image. The algorithm first separates an image into LPF (low pass filtered) and HPF (high pass filtered) components. The LPF component then controls the amplitude of the HPF component to increase the local contrast. The LPF component is then subjected to a non linearity to modify the local luminance mean of the image and is combined with the processed HPF component. Finally, this approach is enhanced to get an infrared image with better visual details.
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