617 citations · 964 across the 17 of their papers we have counts for
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HDR-VDP-3: A multi-metric for predicting image differences, quality and contrast distortions in high dynamic range and regular content
Rafal K. Mantiuk, Dounia Hammou, Param Hanji
High-Dynamic-Range Visual-Difference-Predictor version 3, or HDR-VDP-3, is a visual metric that can fulfill several tasks, such as full-reference image/video quality assessment, pr…
G-SemTMO: Tone Mapping with a Trainable Semantic Graph
Abhishek Goswami, Erwan Bernard, Wolf Hauser +2
A Tone Mapping Operator (TMO) is required to render images with a High Dynamic Range (HDR) on media with limited dynamic capabilities. TMOs compress the dynamic range with the aim…
Training a Task-Specific Image Reconstruction Loss
Aamir Mustafa, Aliaksei Mikhailiuk, Dan Andrei Iliescu +2
The choice of a loss function is an important factor when training neural networks for image restoration problems, such as single image super resolution. The loss function should e…
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality
Aliaksei Mikhailiuk, Maria Perez-Ortiz, Dingcheng Yue +2
Increasing popularity of high-dynamic-range (HDR) image and video content brings the need for metrics that could predict the severity of image impairments as seen on displays of di…
Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration
Param Hanji, Fangcheng Zhong, Rafal K. Mantiuk
A near-optimal reconstruction of the radiance of a High Dynamic Range scene from an exposure stack can be obtained by modeling the camera noise distribution. The latent radiance is…