@INPROCEEDINGS{Guthier_2012c,
author={Guthier, B. and Kopf, S. and Wichtlhuber, M. and Effelsberg, W.},
booktitle={Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on},
title={Parallel algorithms for histogram-based image registration},
year={2012},
month={April},
pages={172-175},
abstract={Image registration is the process of finding pixel correspondences between images that were taken at different points in time or from different viewpoints. In particular, we are interested in registering exposures captured with varying shutter speed settings for the creation of high dynamic range (HDR) images. For an existing histogram-based image registration technique, we discuss the suitability for parallelization. Modifications to the technique that allow us to run parts of the algorithm in parallel are presented. The parallel parts can then be processed by a graphics processing unit (GPU) for improved performance. Our results show that the most time consuming component of the algorithm can be sped up on an Nvidia GPU by a factor of up to 19 over the original sequential version. The average speed-up is 5.9:1.},
keywords={graphics processing units;image registration;parallel algorithms;HDR images;Nvidia GPU;exposure registration;graphics processing unit;high dynamic range images;histogram-based image registration;original sequential version;parallel algorithms;parallel parts;parallelization suitability;varying shutter speed settings;Brightness;Cameras;Dynamic range;Graphics processing unit;Histograms;Image registration;Instruction sets;GPU;HDR Video;Image Registration},
ISSN={2157-8672},}