Optical Technique, Volume. 47, Issue 5, 601(2021)

Infrared image enhancement using visual saliency analysis within local window

MA Qiong*, LI Tong, ZHAO Jufeng, and CUI Guangmang
Author Affiliations
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    References(7)

    [7] [7] Wang WenchengChen ZhenxueYuan Xiaohuiet al. Adaptive image enhancement method for correcting low-illumination images[J]. Information Sciences,2019,496: 25-41.

    [11] [11] HanJinhuiMoradi SaedFaramarzi Imanet al. A local contrast method for infrared Small-Target detection utilizing a Tri-Layer window[J].IEEE Geoscience and Remote Sensing Letters,2019,17(10): 1822-1826.

    [12] [12] Han Jinhui MA YongHuang Junet al. An infrared small target detecting algorithm based on human visual system[J].IEEE Geoscience and Remote Sensing Letters,2016,13(3): 452-456.

    [13] [13] Wei YYou XLi H. Multiscale patch-based contrast measure for small infrared target detection[J]. Pattern Recognition,2016,58: 216-226.

    [14] [14] ToetAlexander. TNO image fusion dataset. Figshare. Dataset[EB/OL].(2014-04).https: ∥figshare.com/articles/dataset/TNO_Image_Fusion_Dataset/1008029.

    [15] [15] Zhao JufengChen YuetingFeng Huajunet al. Fast image enhancement using multi-scale saliency extraction in infrared imagery[J]. Optik-International Journal for Light and Electron Optics,2014,125(15): 4039-4042.

    CLP Journals

    [1] CAI Meifang, WAN Liyong. Infrared image enhancement algorithm based on adaptive Gamma correction[J]. Optical Technique, 2022, 48(4): 486

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    MA Qiong, LI Tong, ZHAO Jufeng, CUI Guangmang. Infrared image enhancement using visual saliency analysis within local window[J]. Optical Technique, 2021, 47(5): 601

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    Paper Information

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    Received: May. 10, 2021

    Accepted: --

    Published Online: Nov. 6, 2021

    The Author Email: Qiong MA (18041504@hdu.edu.cn)

    DOI:

    CSTR:32186.14.

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