Title :
Image fusion for a digital camera application
Author :
Zhang, Zhong ; Blum, Rick S.
Author_Institution :
EECS Dept., Lehigh Univ., Bethlehem, PA, USA
Abstract :
Image fusion techniques are investigated for blindly constructing an improved image from several distorted visual images when the distortion is mainly due to parts of the image being out of focus. A generic framework for image fusion based on multiscale decomposition is proposed. Different image fusion approaches described by this framework are carefully evaluated and compared. Misregistration problems are also discussed. Experiments show that a region-based image fusion scheme using a shift-invariant wavelet transform provides the best performance, for the digital camera application, among the different image fusion approaches investigated.
Keywords :
cameras; image registration; image representation; image segmentation; sensor fusion; wavelet transforms; digital camera application; distorted visual images; experiments; image fusion; misregistration problems; multiscale decomposition representation; performance; region-based image fusion; shift-invariant wavelet transform; Digital cameras; Discrete wavelet transforms; Focusing; Fusion power generation; Image fusion; Image generation; Image sequences; Level measurement; Motion control; Wavelet transforms;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.750934
