Adaptive Logarithmic Mapping For Displaying High Contrast Scenes
By F. Drago, Karol Myszkowski, T. Annen, Norishige Chiba. Computer graphics forum (Print), 2003
892 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/e67102135d139196546f94a5c1f4fae592d7e225
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atomic and Molecular Physics, and Optics
- Dani Lischinski
- Richard Szeliski
- M. Uyttendaele
- Thomas Bashford-rogers
- Demetris Marnerides
- Wenqi Ren
- Zhou Wang
- Yanyun Qu
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Chen Change Loy
- Ming-Hsuan Yang
- Dacheng Tao
- Xiaogang Wang
- Bernt Schiele
- Yi Yang
- Andrew Zisserman
In Media Technology
- Wenhan Yang
- Jiaying Liu
- Hojatollah Yeganeh
- Wenqi Ren
- Zhangyang Wang
- Xiaohui Yuan
- Wencheng Wang
- Zairui Gao
Citations in the corpus
- Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study (2019, methodology): “18) found tone mapping [163] to be an impressively effective pre-processing, on top of which they tuned two DSFD detectors (with VGG-16 and ResNet-”
- Interactive local adjustment of tonal values (2006, background): “… into global operators, which essentially utilize a curve to map each pixel to a display value, [Ward Larson et al. 1997; Reinhard et al. 2002; Drago et al. 2003], and local (spatially variant)operators,[Pattanaiketal.1998;TumblinandTurk 1999; Ashikhmin2002;…”
- Learning Robust Policies for Object Manipulation with Robot Swarms (2018, methodology): “To remap the image from the HDR space to the 8-bit image space we apply an adaptive logarithmic mapping [27].”
- ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content (2018, methodology): “…to form the input LDR from the output HDR, chosen uniformly from a list of five operators: dynamic range reduction inspired by photoreceptor physiology (Photoreceptor) [RD05], Adaptive Logarithmic Mapping (ALM) [DMAC03], Display Adaptive Tone Mapping (display) [MDK08], Bilateral [DD02] and Exposure.”
- Objective Quality Assessment of Tone-Mapped Images (2013, methodology): “[4], Durand & Dorsey [35], Fattal et. al.”
- Exposure Fusion (2009, background): “Global operators apply a spatially uniform remapping of intensity to compress the dynamic range [7, 14, 24].”
- An Experiment-Based Review of Low-Light Image Enhancement Methods (2020, background): “suggested that the dynamic range of an image can be effectively compressed by mapping the gray values of the image using an adaptive logarithmic function [56].”