DocumentCode :
3708099
Title :
Adaptive exposure fusion for high dynamic range imaging
Author :
Sidhdharthkumar Patel;Dimitrios Androutsos;Matthew Kyan
Author_Institution :
Ryerson University, Department of Electrical and Computer Engineering, 350 Victoria Street, Toronto, Ontario, Canada M5B 2K3
fYear :
2015
Firstpage :
4679
Lastpage :
4683
Abstract :
This paper proposes a novel exposure fusion algorithm that directly fuses exposure bracketed shots into a displayable image. Most techniques targeted for direct fusion do not have an effective exposure control mechanism that can compensate for the limitations in the human visual system (HVS). The proposed algorithm offers a novel approach that adaptively adjusts its parameter for the best viewing experience. Changing the parameter adaptively aims to mitigate the perceptual loss of details caused by Weber´s effect, brightening the dark regions while darkening the bright regions. The proposed method yields a perceptually detailed image when compared against other methods of similar nature.
Keywords :
"Cameras","Mathematical model","Fuses","Image color analysis","Dynamic range","Brightness"
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICIP.2015.7351694
Filename :
7351694
Link To Document :
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