HDR+ Denoising Pipeline - Final Deliverables
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)
Final Report
View as separate PDF file: HDR Final Report
Final Video
View at YouTube: HDR Final Video
Codebase
You can find our codebase on Github.