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

Anumol Mathai; Mengdi Li; Stephen Lau; Ningqun Guo; Xin Wang

doi:10.1007/s13320-022-0653-x

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

Anumol Mathai Mengdi Li Stephen Lau Ningqun Guo Xin Wang

Year: 2022 Journal: Photonic Sensors Vol: 12 (4) Publisher: Springer Nature

DOI: 10.1007/s13320-022-0653-x

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Keywords:

Artificial intelligence Convolutional neural network Computer vision Compressed sensing Computer science Iterative reconstruction Pixel Speckle pattern Image quality Similarity (geometry) Reconstruction algorithm Object (grammar) Image resolution Pattern recognition (psychology) Image (mathematics)

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Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Optical Coherence Tomography Applications

Physical Sciences → Engineering → Biomedical Engineering

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

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

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