3 papers
cs.MM2020
DRST: Deep Residual Shearlet Transform for Densely Sampled Light Field Reconstruction
Yuan Gao, Robert Bregovic, Reinhard Koch +1
The Image-Based Rendering (IBR) approach using Shearlet Transform (ST) is one of the most effective methods for Densely-Sampled Light Field (DSLF) reconstruction. The ST-based DSLF…
eess.IV2019
Learning Wavefront Coding for Extended Depth of Field Imaging
Ugur Akpinar, Erdem Sahin, Monjurul Meem +2
Depth of field is an important factor of imaging systems that highly affects the quality of the acquired spatial information. Extended depth of field (EDoF) imaging is a challengin…
eess.IV2018
Fast and Accurate Depth Estimation from Sparse Light Fields
Aleksandra Chuchvara, Attila Barsi, Atanas Gotchev
We present a fast and accurate method for dense depth reconstruction from sparsely sampled light fields obtained using a synchronized camera array. In our method, the source images…