DocumentCode :
730268
Title :
Dual-exposure image registration for HDR processing
Author :
Bouzaraa, Fahd ; Urfalioglu, Onay ; Cordara, Giovanni
Author_Institution :
Tech. Univ. Munchen, Munich, Germany
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
1553
Lastpage :
1557
Abstract :
In this paper we present a method for registering a pair of differently exposed Low Dynamic Range (LDR) images for the purpose of rendering a High Dynamic Range (HDR) image. In general, the images are captured from a moving camera and/or contain moving objects. Therefore, proper registration is required to enable HDR rendering. However, even for equally exposed images, registration is an ill posed problem where errors are expected for a wide range of image pairs. The problem only becomes more challenging for a pair of differently exposed images. We propose an adaptive registration error detection and correction method to address this issue. By combining Optical Flow with the proposed correction method, we achieve state-of-the art results as shown in numerous experiments. The proposed method is simple and has low-complexity, hence allowing for an easy and efficient implementation.
Keywords :
error detection; image capture; image motion analysis; image registration; HDR image; LDR images; correction method; error detection; high dynamic range image; image capture; image registration; low dynamic range images; moving camera; moving objects; Adaptive optics; Cameras; Computer vision; Dynamic range; Image motion analysis; Optical distortion; Optical imaging; HDR; Image Registration; Optical Flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7178231
Filename :
7178231
Link To Document :
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