Title :
A support value transform-based multi focus image fusion method
Author :
Zheng, Sheng ; Liu, Jian ; Zhu, Guangxi ; Tian, Jinwen
Abstract :
The image fusion is an important approach to produce a single complete image which preserves all relevant information from different sensors. In this paper, we proposed a support value transform-based multi focus image fusion method, where the fused saliency features are represented by support values. Based on the mapped least squares support vector machine, the support value transform is developed as a multi-scale analysis tool. The fusing results on the multi focus images demonstrate that the proposed image fusion method is effective and efficient
Keywords :
feature extraction; image fusion; least squares approximations; support vector machines; transforms; fused saliency features; mapped least squares support vector machine; multi focus image fusion method; multi-scale analysis tool; support value transform; Discrete wavelet transforms; Focusing; Image fusion; Image processing; Image sensors; Least squares methods; Optical sensors; Sensor fusion; Support vector machine classification; Support vector machines;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345550
