40 citations · 129 across the 12 of their papers we have counts for
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eess.IV2019★ 16 cited
Potential of deep features for opinion-unaware, distortion-unaware, no-reference image quality assessment
Subhayan Mukherjee, Giuseppe Valenzise, Irene Cheng
Image Quality Assessment algorithms predict a quality score for a pristine or distorted input image, such that it correlates with human opinion. Traditional methods required a non-…
eess.IV2019★ 1 cited
DeepInSAR: A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation
Xinyao Sun, Aaron Zimmer, Subhayan Mukherjee +3
Over the past decade, Interferometric Synthetic Aperture Radar (InSAR) has become a successful remote sensing technique. However, during the acquisition step, microwave reflections…