Abstract
We propose an image stitching method that can remove ghost effects and realign the structure misalignments that occur in common image stitching methods. To reduce the artifacts caused by different parallaxes, an optimal seam pair is selected by comparing the cross correlations from multiple seams detected by variable cost weights. Along the optimal seam pair, a histogram of oriented gradients is calculated, and feature points for matching are detected. The homography is refined using the matching points, and the remaining misalignment is eliminated using the propagation of deformation vectors calculated from matching points. In multiband blending, the overlapping regions are determined from a distance between the matching points to remove overlapping artifacts. The experimental results show that the proposed method more robustly eliminates misalignments and overlapping artifacts than the existing method that uses single seam detection and gradient features.
Original language | English |
---|---|
Article number | 063016 |
Journal | Journal of Electronic Imaging |
Volume | 26 |
Issue number | 6 |
DOIs | |
Publication status | Published - 1 Nov 2017 |
Bibliographical note
Publisher Copyright:© 2017 SPIE and IS&T.
Keywords
- optimal seam pair
- seamless image stitching
- structure deformation