Transparent Object Reconstruction Based on Compressive Sensing and Super-Resolution Convolutional Neural Network

IF 5 2区物理与天体物理 Q1 INSTRUMENTS & INSTRUMENTATION

Photonic Sensors Pub Date : 2022-04-06 DOI:10.1007/s13320-022-0653-x

Anumol Mathai, Li Mengdi, Stephen L. H. Lau, N. Guo, Xin Wang

引用次数: 3

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基于压缩感知和超分辨率卷积神经网络的透明物体重建

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Photonic Sensors Physics and Astronomy-Atomic and Molecular Physics, and Optics

CiteScore

8.60

自引率

2.30%

发文量

270

审稿时长

13 weeks

期刊介绍： Photonic Sensors publishes original, peer-reviewed articles that report on new developments of interest to both the photonics and sensor communities in all fields of photonic sensing science and technology. Topics include optical fiber sensors, planar waveguide sensors, laser-based sensors, and biophotonic sensors, etc. Photonic Sensors focuses on experimental contributions related to novel principles, structures or materials for photonic sensors. Papers that report on investigations based on combinations of experimental and analytical/numerical approaches are also welcome.