Light field scenes with disparity maps (LFQD)
Adam Zizien, Karel Fliegel · Zenodo (CERN European Organization for Nuclear Research) · 2022
The dataset includes distorted versions of synthetic scenes created by the authors of the 4D Light Field Benchmark, as well as scenes created by us. The scenes were distorted by: Compression-based distortions (JPEG, JPEG2000, BPG, VP9, AV1, AVC, HEVC, JPEG Pleno 4D-Transform Mode) Non-compression-based distortions (Gaussian noise, impulse noise, contrast enhancement via unsharp mask) The disparity maps were estimated using: EPINET LFattNet LFDE-Flex SPO The dataset is composed of three archives. GT_scenes.zip is comprised of ground truth light field images directly created by us (the rest of the ground truths can be downloaded from https://lightfield-analysis.uni-konstanz.de). ALL_scenes.zip includes both the ground truths for scenes created by us, as well as all the distorted versions (13 scenes in total). The last archive (ALL_disparity.zip) is comprised of distorted disparity maps generated by the above-mentioned disparity estimation algorithms. The entire dataset, together with detailed information about how the scenes were distorted can be access at https://sites.google.com/fel.cvut.cz/lfqd. The dataset was created primarily for an accompanying article Regarding the quality of disparity estimation from distorted light fields - https://doi.org/10.1016/j.image.2022.116867.