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Wolfgang Heidrich
Researcher at King Abdullah University of Science and Technology
Publications - 336
Citations - 18089
Wolfgang Heidrich is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Rendering (computer graphics) & Pixel. The author has an hindex of 64, co-authored 312 publications receiving 15854 citations. Previous affiliations of Wolfgang Heidrich include University of Erlangen-Nuremberg & Nvidia.
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High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting
TL;DR: The Human Visual System and HDR Tone Mapping and Frequency Domain and Gradient Domain Tone Reproduction and an Image-Based Lighting List of Symbols References Index are presented.
Proceedings ArticleDOI
HDR-VDP-2: a calibrated visual metric for visibility and quality predictions in all luminance conditions
TL;DR: The visibility metric is shown to provide much improved predictions as compared to the original HDR-VDP and VDP metrics, especially for low luminance conditions, and is comparable to or better than for the MS-SSIM, which is considered one of the most successful quality metrics.
Journal ArticleDOI
High dynamic range display systems
Helge Seetzen,Wolfgang Heidrich,Wolfgang Stuerzlinger,Greg Ward,Lorne A. Whitehead,Matthew Trentacoste,Abhijeet Ghosh,A. Vorozcovs +7 more
TL;DR: This paper discusses the design of two different display systems that are capable of displaying images with a dynamic range much more similar to that encountered in the real world.
Proceedings ArticleDOI
Deep Video Deblurring for Hand-Held Cameras
TL;DR: This work introduces a deep learning solution to video deblurring, where a CNN is trained end-to-end to learn how to accumulate information across frames, and shows that the features learned extend todeblurring motion blur that arises due to camera shake in a wide range of videos.
Journal ArticleDOI
Image-based reconstruction of spatial appearance and geometric detail
TL;DR: This work presents an image-based measuring method that robustly detects the different materials of real objects and fits an average bidirectional reflectance distribution function (BRDF) to each of them, leading to a truly spatially varying BRDF representation.