An Wang, Junfan Zhu, Jiguo Wu, Ling Ye, Xiong Liu, Yinghang Jiang, Yifan Wang, Yurong Liu, Rongchun Ge, Jinglei Du, Zhiyou Zhang
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Compressed computational imaging based on optical differentiation.
In computational imaging, getting better imaging quality with shorter time usage is always a challenging problem. The powerful compressed sensing functions as a backend algorithm, which leaves room for us to develop a methodology of compression in imaging systems. Optical differentiation was widely utilized in direct imaging to highlight the features of an image. We apply optical differentiation to compress information in the correlated imaging system. The experimental results indicate a significant improvement in the signal-to-noise ratio and imaging speed. In addition, this scheme enables phase imaging from the second-order correlation. Our work can spark potential applications in biological microscopic and scattering media imaging.
期刊介绍:
The Optical Society (OSA) publishes high-quality, peer-reviewed articles in its portfolio of journals, which serve the full breadth of the optics and photonics community.
Optics Letters offers rapid dissemination of new results in all areas of optics with short, original, peer-reviewed communications. Optics Letters covers the latest research in optical science, including optical measurements, optical components and devices, atmospheric optics, biomedical optics, Fourier optics, integrated optics, optical processing, optoelectronics, lasers, nonlinear optics, optical storage and holography, optical coherence, polarization, quantum electronics, ultrafast optical phenomena, photonic crystals, and fiber optics. Criteria used in determining acceptability of contributions include newsworthiness to a substantial part of the optics community and the effect of rapid publication on the research of others. This journal, published twice each month, is where readers look for the latest discoveries in optics.