Related papers: $\text{DC}^2$: Dual-Camera Defocus Control by Learning to Refocus

$\text{DC}^2$: Dual-Camera Defocus Control by Learning to Refocus

URL: http://arxiv.org/abs/2304.03285v1
Date: Thu, 6 Apr 2023 17:59:58 GMT
Title: $\text{DC}^2$: Dual-Camera Defocus Control by Learning to Refocus
Authors: Hadi Alzayer, Abdullah Abuolaim, Leung Chun Chan, Yang Yang, Ying Chen Lou, Jia-Bin Huang, Abhishek Kar
Abstract summary: We propose a system for defocus control for synthetically varying camera aperture, focus distance and arbitrary defocus effects. Our key insight is to leverage real-world smartphone camera dataset by using image refocus as a proxy task for learning to control defocus. We demonstrate creative post-capture defocus control enabled by our method, including tilt-shift and content-based defocus effects.
Score: 38.24734623691387
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Smartphone cameras today are increasingly approaching the versatility and quality of professional cameras through a combination of hardware and software advancements. However, fixed aperture remains a key limitation, preventing users from controlling the depth of field (DoF) of captured images. At the same time, many smartphones now have multiple cameras with different fixed apertures - specifically, an ultra-wide camera with wider field of view and deeper DoF and a higher resolution primary camera with shallower DoF. In this work, we propose $\text{DC}^2$, a system for defocus control for synthetically varying camera aperture, focus distance and arbitrary defocus effects by fusing information from such a dual-camera system. Our key insight is to leverage real-world smartphone camera dataset by using image refocus as a proxy task for learning to control defocus. Quantitative and qualitative evaluations on real-world data demonstrate our system's efficacy where we outperform state-of-the-art on defocus deblurring, bokeh rendering, and image refocus. Finally, we demonstrate creative post-capture defocus control enabled by our method, including tilt-shift and content-based defocus effects.