Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8146924 | Infrared Physics & Technology | 2015 | 5 Pages |
Abstract
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.
Keywords
Related Topics
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Atomic and Molecular Physics, and Optics
Authors
Shaosheng Dai, Qin Liu, Pengfei Li, Jinsong Liu, Haiyan Xiang,