DocumentCode :
2832706
Title :
Fully automated exposure fusion algorithm for mobile platforms
Author :
Kartalov, Tomislav ; Ivanovski, Zoran ; Panovski, Ljupcho
Author_Institution :
Fac. of Electr. Eng., Ss. Cyril and Methodius Univ., Skopje, Macedonia
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
361
Lastpage :
364
Abstract :
In this paper, an automated algorithm for fusion of differently exposed images is proposed. The algorithm is based on Gaussian/Laplacian pyramid decomposition of the input images. It includes optimization of the pyramid height for best quality results, and decision module for the necessity of the procedure for the recorded scene. The end user involvement in the process of the creation of the output image is completely eliminated, making this algorithm a good choice for use on a mobile platform, as add-on software for low price mobile cameras. Experimental results show high efficiency of the algorithm and excellent visual quality of the resulting images.
Keywords :
Gaussian processes; cameras; image fusion; image sensors; mobile computing; optimisation; Gaussian-Laplacian pyramid decomposition; add-on software; decision module; fully automated exposure fusion algorithm; image fusion; low price mobile camera; mobile platform; pyramid height optimization; visual quality; Algorithm design and analysis; Conferences; Dynamic range; Filtering algorithms; Image reconstruction; Laplace equations; Mobile communication; exposure fusion on mobile platform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6116501
Filename :
6116501
Link To Document :
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