Perspective effect enhancement for light field refocusing using depth-guided optimization
chun zhao, Byeungwoo Jeon · 2023
Light field (LF) image can improve perspective effect and immersive experience. It also provides new capabilities such as depth estimation, post-capture refocusing, and 3D modelling among which refocusing is potentially very useful in many applications such as smart phone. This paper addresses a novel depth-guided enhancement of light field images to improve depth contrast. The proposed method is formulated as an optimization problem that can consider not only the desired inter-depth contrast constraints of depth map, but also intra-depth luminance intensity contrast and color saturation contrast constraints in each depth layer. Experiment result shows that it outperforms the state-of-the-art methods in its depth contrast and detail preservation in each depth layer. It is observed also that the proposed method can enlarge luminance range by 7~15% and improve color contrast by 3~8%.