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A super-resolution infrared image information acquisition method based on mechanism of eye micro-movements
Author(s): Shaosheng Dai; YaJun Cheng; Liangbing Yu; Hewen Nie
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Paper Abstract

Visual studies have shown that human eyes have mechanisms including micro-movements and super-resolution (SR) information acquisition when gazing at a fixed target. However, the causality between these two mechanisms has not been theoretically clarified. To explore the quantitative relationship between eye micro-movements (EMms) and SR image information acquisition, we propose a novel SR infrared image information acquisition model. In the proposed model, the real visual neuron is simulated by MP artificial neuron, which can generate an output signal when it receives input signal exceeding the threshold of the activated MP neuron. The experimental results illustrate that the perceived infrared image details are more clear and accurate with EMms modes than that with eye motionlessness mode, presenting the SR information acquisition feature.

Paper Details

Date Published: 9 August 2018
PDF: 6 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108064N (9 August 2018); doi: 10.1117/12.2502857
Show Author Affiliations
Shaosheng Dai, Chongqing Univ. of Posts and Telecommunications (China)
YaJun Cheng, Chongqing Univ. of Posts and Telecommunications (China)
Liangbing Yu, Chongqing Univ. of Posts and Telecommunications (China)
Hewen Nie, Chongqing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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