Study on infrared image detail enhancement algorithm based on adaptive lateral inhibition network

Aiming at traditional lateral inhibition network enhancement algorithm’s disadvantages such as poor anti-noise performance and complicated calculation, this paper proposed a novel infrared image detail enhancement algorithm based on adaptive lateral inhibition network. The algorithm can not only red...

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Bibliographic Details
Published inInfrared physics & technology Vol. 68; pp. 10 - 14
Main Authors Dai, Shaosheng, Liu, Qin, Li, Pengfei, Liu, Jinsong, Xiang, Haiyan
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.01.2015
Subjects
Adaptive lateral inhibition network
Anti-noise performance
Contrast
Information entropy
Infrared image details
Anti-noise performance
Adaptive lateral inhibition network
Contrast
Information entropy
Infrared image details
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Summary:Aiming at traditional lateral inhibition network enhancement algorithm’s disadvantages such as poor anti-noise performance and complicated calculation, this paper proposed a novel infrared image detail enhancement algorithm based on adaptive lateral inhibition network. The algorithm can not only reduce noise by adaptively changing lateral inhibition coefficients adaptively according to image scene, but also produce strong contrast between sharp edge and even part. Compared with traditional lateral inhibition network algorithm, the experimental results show that the image details are obviously highlighted, and the image’s contrast increases by 1.25 times and the information entropy increases by 1.15 times.
ISSN:1350-4495
1879-0275
DOI:10.1016/j.infrared.2014.09.042