A dataset of hologram reconstructions at different distances and viewpoints for quality evaluation

In this paper, a dataset of images reconstructed from digital holograms is presented. The dataset consists of 19 samples, with 49 reconstructions for each one, from different viewpoints and distances. The proposed dataset can be utilized in several research fields related to holography, such as perceptual visual quality evaluation, image quality metrics assessment, data compression and development of new image enhancement techniques. The rendering process applied for the dataset generation is described and a presentation methodology for the reconstructed images is proposed.