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JINHUA WANG1,2, DE XU1, CONGYAN LANG1 AND BING LI1
1Institute of Computer Science and Engineering
Beijing Jiaotong University
Beijing, 100044 P.R. China
2Institute of Information Technology
Beijing Union University
Beijing, 100101 P.R. China
Until now, most exposure fusion methods are easy to be influenced by the location
of object in the image. However, when capturing the source images, slight shift in the
camera¡¦s position will yield blurry or double images. In order to solve the problem, a
method called SIDWTBEF is proposed, which is based on shift-invariant discrete wavelet
transform (SIDWT). It is more robust to images those have slight shift. On the other hand,
in this paper, we present a novel way to get the chrominance information of the scene, and
the saturation of the fused image can be adjusted using one user-controlled parameter. The
luminance images sequence of the source images are decomposed by SIDWT into subimages
with a certain level scale. In the transform domain, different fusion rules are used
for the high-pass sub-images and the low-pass sub-images combination respectively. In
the end, in order to reduce the inconsistencies induced by the fusion rule after applying the
inverse transform of SIDWT, an enhancement operator is proposed. Experiments show that
SIDWTBEF can give comparative results compared to other shift dependent exposure
fusion methods.
Received February 12, 2009; revised November 2, 2009 & March 19, 2010; accepted July 9, 2010.
Communicated by Jiebo Luo.
* This work was supported by National Nature Science Foundation of China (No.60972145 and No.60803072),
Fundamental Research Funds for the Central Universities (No. 2009JBM024), and China Postdoctor Research
Foundation (20090460197).