Abstract
Distortions such as shape changes, ghosting, seam lines, and missing edges often occur in multiperspective image stitching. The authors describe a content-preserving image stitching and completion method based on hybrid structure warping to restrain these distortions. Experiments showed that the proposed approach significantly reduced ghosting and distortion, and when compared to existing methods, displayed a superior visual effect.
Original language | English |
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Pages (from-to) | 10-23 |
Number of pages | 14 |
Journal | Computing in Science and Engineering |
Volume | 20 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Mar 2018 |
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Lu, Y., Hua, Z., Gao, K., & Xu, T. (2018). Multiperspective image stitching and regularization via hybrid structure warping. Computing in Science and Engineering, 20(2), 10-23. https://doi.org/10.1109/MCSE.2018.110112927