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Viewing entries tagged
human vision system

Deep Perceptual Image Enhancement Network for Exposure Restoration

January 25, 2022

K. Panetta, S. K. K. M., S. P. Rao and S. S. Agaian, in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2021.3140202.

Channel attention network, deep convolutional neural networks, dilated residual network, human vision system, image enhancement, logarithmic exposure transformation (LXT), multiscale human color vision (MHCV) loss

Comprehensive Underwater Object Tracking Benchmark Dataset and Underwater Image Enhancement With GAN

January 1, 2022

K. Panetta, L. Kezebou, V. Oludare and S. Agaian, in IEEE Journal of Oceanic Engineering, vol. 47, no. 1, pp. 59-75, Jan. 2022, doi: 10.1109/JOE.2021.3086907.