HDR+ Denoising Pipeline - Milestone Report
Summary: Taking multi-shot / burst sequences of images as input, we aim to implement a burst denoising pipeline (based on Google’s HDR+) to produce a temporally and spatially denoised image, which in turn become suitable for HDR image generation.
Team members
Haohua Lyu (haohua@berkeley.edu)
Xiao Song (xiaosx@berkeley.edu)
Cyrus Vachha (cvachha@berkeley.edu)
Siming Liu (liusm220036@berkeley.edu)
Milestone Report
View as separate PDF file: HDR Milestone Report
Milestone Video
View at YouTube: HDR Milestone Video
Milestone Slides
View at Google Slides: HDR Milestone Slides
The following embedding will only show the slides if you are logged into a Berkeley account.
Codebase
You can find our codebase on Github.