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A Unified Learning Based Framework for Light Field Reconstruction from Coded Projections
Anil Kumar Vadathya, Sharath Girish, Kaushik Mitra
Light field presents a rich way to represent the 3D world by capturing the spatio-angular dimensions of the visual signal. However, the popular way of capturing light field (LF) vi…
Solving Inverse Computational Imaging Problems using Deep Pixel-level Prior
Akshat Dave, Anil Kumar Vadathya, Ramana Subramanyam +2
Signal reconstruction is a challenging aspect of computational imaging as it often involves solving ill-posed inverse problems. Recently, deep feed-forward neural networks have led…
Learning Light Field Reconstruction from a Single Coded Image
Anil Kumar Vadathya, Saikiran Cholleti, Gautham Ramajayam +2
Light field imaging is a rich way of representing the 3D world around us. However, due to limited sensor resolution capturing light field data inherently poses spatio-angular resol…