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Color ghost imaging via sparsity constraint and non-local self-similarity [Early Posting]

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摘要

We propose a color ghost imaging approach where the object is illuminated by three-color non-orthogonal random patterns and the object''s reflection/transmission information is received by only one single-pixel detector, and both the sparsity constraint and non-local self-similarity of the object are utilized in the image reconstruction process. Numerical simulated results demonstrate that the imaging quality can be obviously enhanced by ghost imaging via sparsity constraint and non-local self-similarity (GISCNL), compared with the reconstruction methods where only the object’s sparsity is used. Factors affecting the quality of GISCNL, such as the measurement number and the detection SNR, are also studied.

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作者单位:

    Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences
    Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences
    中科院上海光机所

引用该论文

Wang Pengwei,Wang Chenglong,yu cuiping,yue shuai,Gong Wenlin,Han Shensheng. Color ghost imaging via sparsity constraint and non-local self-similarity[J].Chinese Optics Letters,,():.