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eess.IV2021
Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details
Zhuqing Jiang, Chang Liu, Ya'nan Wang +4
With the goal of tuning up the brightness, low-light image enhancement enjoys numerous applications, such as surveillance, remote sensing and computational photography. Images capt…
eess.IV2020★ 1 cited
Low-Rank Subspace Representation from Optimal Coded-Aperture for Unsupervised Classification of Hyperspectral Imagery
Jianchen Zhu
This paper aims at developing a clustering approach with spectral images directly from the compressive measurements of coded aperture snapshot spectral imager (CASSI). Assuming tha…