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Adaptive Image Sampling Using Deep Learning and Its Application on X-Ray Fluorescence Image Reconstruction.

, , , , , и . IEEE Trans. Multim., 22 (10): 2564-2578 (2020)

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Jing Dai

Huangdong Dai

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Min Dai

Qin Dai

 

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Dictionary-based multiple frame video super-resolution., , , и . ICIP, стр. 83-87. IEEE, (2015)Adaptive Illumination Based Depth Sensing Using Deep Superpixel and Soft Sampling Approximation., , , и . IEEE Trans. Computational Imaging, (2022)Adaptive Illumination based Depth Sensing using Deep Learning., , , и . CoRR, (2021)Adaptive Image Sampling Using Deep Learning and Its Application on X-Ray Fluorescence Image Reconstruction., , , , , и . IEEE Trans. Multim., 22 (10): 2564-2578 (2020)Super-resolution of compressed videos using convolutional neural networks., , , и . ICIP, стр. 1150-1154. IEEE, (2016)Spatial-Spectral Representation for X-Ray Fluorescence Image Super-Resolution., , , , и . IEEE Trans. Computational Imaging, 3 (3): 432-444 (2017)Video Super-Resolution With Convolutional Neural Networks., , , и . IEEE Trans. Computational Imaging, 2 (2): 109-122 (2016)Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction., , , , , и . CoRR, (2018)Sparse Representation-Based Multiple Frame Video Super-Resolution., , , и . IEEE Trans. Image Process., 26 (2): 765-781 (2017)X-Ray fluorescence image super-resolution using dictionary learning., , , , , и . IVMSP, стр. 1-5. IEEE, (2016)