Deep Phase Coded Image Prior

arXiv:2404.03906v1 Announce Type: cross
Abstract: Phase-coded imaging is a computational imaging method designed to tackle tasks such as passive depth estimation and extended depth of field (EDOF) using depth cues inserted during image capture. Most of the current deep learning-based methods for depth estimation or all-in-focus imaging require a training dataset with high-quality depth maps and an optimal focus point at infinity for all-in-focus images. Such datasets are difficult to create, usually synthetic, and require external graphic programs. We propose …

abstract arxiv computational cs.cv current dataset deep learning depth of field eess.iv focus image imaging maps prior quality tasks training type