siggraph asia 2014 technical paper fast forward digital photography
TRANSCRIPT
SIGGRAPH ASIA 2014Technical Paper Fast Forward
Digital Photography
Digital Photography
• FlexISP: A Flexible Camera Image Processing
Framework
• Fast Burst Images Denoising
• Spatial-spectral Encoded Compressive
Hyperspectral Imaging
• Mirror Mirror: Crowdsourcing Better Portraits
Digital Photography
• FlexISP: A Flexible Camera Image Processing
Framework
• Fast Burst Images Denoising
• Spatial-spectral Encoded Compressive
Hyperspectral Imaging
• Mirror Mirror: Crowdsourcing Better Portraits
FlexISP: A Flexible Camera Image Processing Framework
• Author– Felix Heide (UBC), – Markus Steinberger
(TU Graz), – Yun-Ta Tsai (NVIDIA), – Mushfiqur Rouf (UBC), – Dawid Pająk (NVIDIA), – Dikpal Reddy (NVIDIA), – Orazio Gallo (NVIDIA),
– Jing Liu (UC Santa Cruz), – Wolfgang Heidrich
(KAUST), – Karen Egiazarian (TUT), – Jan Kautz (NVIDIA), – Kari Pulli (NVIDIA)
https://research.nvidia.com/publication/flexisp-flexible-camera-image-processing-framework
FlexISP: A Flexible Camera Image Processing Framework
• Abstract
FlexISP: A Flexible Camera Image Processing Framework
• Abstract
FlexISP: A Flexible Camera Image Processing Framework
• Abstract
FlexISP: A Flexible Camera Image Processing Framework
• Videohttps://www.youtube.com/watch?v=DvEAtE_bn9Q
FlexISP: A Flexible Camera Image Processing Framework
• ConclusionFlexISP, a framework and a system that replaces the traditional image processing pipeline. The image formation model is expressed as a single objective function, which is solved using a proximal operator framework.
Digital Photography
• FlexISP: A Flexible Camera Image Processing
Framework
• Fast Burst Images Denoising
• Spatial-spectral Encoded Compressive
Hyperspectral Imaging
• Mirror Mirror: Crowdsourcing Better Portraits
Fast Burst Images Denoising
• Author– Ziwei Liu (The Chinese University of Hong Kong)– Lu Yuan (Microsoft Research)– Xiaoou Tang (The Chinese University of Hong Kong)– Matt Uyttendaele (Microsoft Research Technologies)– Jian Sun (Microsoft Research)
http://personal.ie.cuhk.edu.hk/~lz013/projects/BurstDenoising.html
Fast Burst Images Denoising
• Abstract– a fast denoising method that produces a clean image
from a burst of noisy images.
Fast Burst Images Denoising
• Videohttps://www.youtube.com/watch?v=HjG4zecx2dw
Fast Burst Images Denoising
• Limitations
Fast Burst Images Denoising
• Conclusion– a fast denoising method that produces a clean image
from a burst of noisy images.
Digital Photography
• FlexISP: A Flexible Camera Image Processing
Framework
• Fast Burst Images Denoising
• Spatial-spectral Encoded Compressive
Hyperspectral Imaging
• Mirror Mirror: Crowdsourcing Better Portraits
Spatial-spectral Encoded Compressive Hyperspectral Imaging
• Author– Xing Lin (Tsinghua University)– Yebin Liu (Tsinghua University)– Jiamin Wu (Tsinghua University)– Qionghai Dai (Tsinghua University)
Beijing Key Laboratory of Multi-dimension &Multi-scale Computational Photography (MMCP), Tsinghua University
http://media.au.tsinghua.edu.cn/XingLin/SSCSI/sscsi.jsp
Spatial-spectral Encoded Compressive Hyperspectral Imaging
• Abstract
Spatial-spectral Encoded Compressive Hyperspectral Imaging
• Video (dead now)– http://
media.au.tsinghua.edu.cn/XingLin/SSCSI/sscsivideo.avi
Spatial-spectral Encoded Compressive Hyperspectral Imaging
Spatial-spectral Encoded Compressive Hyperspectral Imaging
Spatial-spectral Encoded Compressive Hyperspectral Imaging
Spatial-spectral Encoded Compressive Hyperspectral Imaging
Spatial-spectral Encoded Compressive Hyperspectral Imaging
Spatial-spectral Encoded Compressive Hyperspectral Imaging
Spatial-spectral Encoded Compressive Hyperspectral Imaging
Spatial-spectral Encoded Compressive Hyperspectral Imaging
• Summary
Digital Photography
• FlexISP: A Flexible Camera Image Processing
Framework
• Fast Burst Images Denoising
• Spatial-spectral Encoded Compressive
Hyperspectral Imaging
• Mirror Mirror: Crowdsourcing Better Portraits
Mirror Mirror: Crowdsourcing Better Portraits
• Author– Jun-Yan Zhu (University of California, Berkeley)– Aseem Agarwala (Adobe)– Alexei A. Efros (University of California, Berkeley)– Eli Shechtman (Adobe)– Jue Wang (Adobe)
http://www.eecs.berkeley.edu/~junyanz/projects/mirrormirror/
Mirror Mirror: Crowdsourcing Better Portraits
• Abstract
Mirror Mirror: Crowdsourcing Better Portraits
Mirror Mirror: Crowdsourcing Better Portraits
Mirror Mirror: Crowdsourcing Better Portraits
Mirror Mirror: Crowdsourcing Better Portraits
• Video– https://www.youtube.com/watch?v=AWjcAbvtm04
Mirror Mirror: Crowdsourcing Better Portraits
• Conclusion
Digital Photography
• FlexISP: A Flexible Camera Image Processing
Framework
• Fast Burst Images Denoising
• Spatial-spectral Encoded Compressive
Hyperspectral Imaging
• Mirror Mirror: Crowdsourcing Better Portraits
