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Bi-frequency 3D ghost imaging with Haar wavelet transform
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DOI：10.1364/OE.27.032349.png)
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Recently, ghost imaging has been attracting attention because its mechanism could lead to many applications inaccessible to conventional imaging methods. However, it is challenging for high-contrast and high-resolution imaging, due to its low signal-to-noise ratio (SNR) and the demand of high sampling rate in detection. To circumvent these challenges, we propose a ghost imaging scheme that exploits Haar wavelets as illuminating patterns with a bi-frequency light projecting system and frequency-selecting single-pixel detectors. This method provides a theoretically 100% image contrast and high-detection SNR, which reduces the requirement of high dynamic range of detectors, enabling high-resolution ghost imaging. Moreover, it can highly reduce the sampling rate (far below Nyquist limit) for a sparse object by adaptively abandoning unnecessary patterns during the measurement. These characteristics are experimentally verified with a resolution of 512 x 512 and a sampling rate lower than 5%. A high-resolution (1000 x 1000 x 1000) 3D reconstruction of an object is also achieved from multi-angle images. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
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引用论文
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