DocumentCode :
3654594
Title :
Contrast-Use Metrics for Tone Mapping Images
Author :
Miguel Granados;Tunc Ozan Aydin;J. Rafael Tena;Jean-Francois Lalonde;Christian Theobalt
fYear :
2015
fDate :
4/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
8
Abstract :
Existing tone mapping operators (TMOs) provide good results in well-lit scenes, but often perform poorly on images in low light conditions. In these scenes, noise isprevalent and gets amplified by TMOs, as they confuse contrast created by noise with contrast created by the scene. This paper presents a principled approach to produce tone mapped images with less visible noise. For this purpose, we leverage established models of camera noise and human contrast perception to design two new quality scores: contrast waste and contrast loss, which measure image quality as a function of contrast allocation. To produce tone mappings with less visible noise, we apply these scores in two ways: first, to automatically tune the parameters of existing TMOs to reduce the amount of noise they produce; and second, to propose a new noise-aware tone curve.
Keywords :
"Noise","Cameras","Noise measurement","Standards","Visualization","Calibration"
Publisher :
ieee
Conference_Titel :
Computational Photography (ICCP), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICCPHOT.2015.7168364
Filename :
7168364
Link To Document :
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