DocumentCode :
566885
Title :
Smoothing filter-based image fusion of object and scene
Author :
Youdong Ding ; Xiaocheng Wei ; Jieying Chen
Author_Institution :
Sch. of Film & TV Arts & Technol., Shanghai Univ., Shanghai, China
Volume :
1
fYear :
2012
fDate :
25-27 May 2012
Firstpage :
10
Lastpage :
14
Abstract :
Since the existing fusion method of object and scene that is based on IHS transform has a defect: emergence of the scene image´s illusion in target area, this paper proposes an smoothing filter-based algorithm through smoothing target areas of the hue component and saturation component of the new scene image which are used to carry out IHS inverse transform. Subjective quality evaluation and objective quality assessment data of comparative fusion experiment results show that the new algorithm not only can get rid of the drawback of the existing object-scene fusion method based on IHS transform effectively and achieve better fusion result in the application of object-scene fusion, but also performs fast.
Keywords :
filtering theory; image fusion; smoothing methods; transforms; IHS inverse transform; hue component; object-scene smoothing filter-based image fusion; saturation component; visual simulation technology; Filtering algorithms; Image fusion; Image restoration; Lighting; Smoothing methods; Standards; Transforms; IHS transform; fusion of object and scene; fusion quality evaluation; smoothing filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4673-0088-9
Type :
conf
DOI :
10.1109/CSAE.2012.6272538
Filename :
6272538
Link To Document :
بازگشت