DocumentCode :
152658
Title :
Evaluating deghosting algorithms for HDR images
Author :
Tursun, Okan Tarhan ; Akyuz, Ahmet Oguz ; Erdem, A Tanju ; Erdem, Esra
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara, Turkey
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
1275
Lastpage :
1278
Abstract :
The real world encompasses a high range of luminances. In order to capture and represent this range correctly, High Dynamic Range (HDR) imaging techniques are introduced. Some of these techniques are based on constructing an HDR image from several Low Dynamic Range (LDR) images with different exposures. In the capture and reconstruction phases, the HDR reproduction techniques must resolve the differences between the input LDR images due to camera and object movement. In this study, two recent approaches addressing this issue are compared using a novel dataset comprised of image sequences with varying complexity. The results are evaluated by using both objective and subjective measures.
Keywords :
image motion analysis; image reconstruction; image sensors; image sequences; HDR imaging techniques; HDR reproduction techniques; camera movement; capture phase; deghosting algorithm evaluation; high dynamic range imaging techniques; low dynamic range images; object movement; reconstruction phase; Computer vision; Conferences; Dynamic range; Graphics; Imaging; Pattern recognition; Signal processing; HDR imaging; deghosting; objective evaluation; subjective evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
Type :
conf
DOI :
10.1109/SIU.2014.6830469
Filename :
6830469
Link To Document :
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