J Lee, S Lee, S Cho, S Lee - … of the IEEE/CVF conference on …, 2019 - openaccess.thecvf.com
In this paper, we propose the first end-to-end convolutional neural network (CNN) architecture, Defocus Map Estimation Network (DMENet), for spatially varying defocus map …
Y Wang, J Yang, Y Guo, C Xiao… - IEEE Signal Processing …, 2018 - ieeexplore.ieee.org
Camera arrays provide spatial and angular information within a single snapshot. With refocusing methods, focal planes can be altered after exposure. In this letter, we propose a …
Reproducing accurate retinal defocus blur is important to correctly drive accommodation and address vergence-accommodation conflict in head-mounted displays (HMDs). Numerous …
EQ Wong, Y Murakami, P Li, ED Edwards… - US Patent …, 2013 - Google Patents
US PATENT DOCUMENTS image. In another embodiment, the blurs are calculated for each of the low resolution images and are used to generate the 4,349.254. A 9/1982 Jyojket al …
We present a novel rendering system for defocus blur and lens effects. It supports physically- based rendering and outperforms previous approaches by involving a novel GPU-based …
B Zheng, Q Chen, S Yuan, X Zhou… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Bokeh rendering is a technique used to take pictures with out-of-focus areas to highlight regions of interest. Due to limitations in hardware and shooting condition, rendering a bokeh …
Q Chen, B Zheng, X Zhou, A Huang, Y Sun… - Neural Computing and …, 2023 - Springer
Bokeh effect is usually used to highlight major contents in an image. Limited by the small sensors, cameras on smartphones are less sensitive to the depth information and cannot …
Bokeh is widely used in photography to draw attention to the subject while effectively isolating distractions in the background. Computational methods can simulate bokeh effects …