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Issue No. 02 - Mar./Apr. (2018 vol. 20)
ISSN: 1521-9615
pp: 10-23
Yan Lu , Beijing Institute of Technology
Zizheng Hua , Beijing Institute of Technology
Kun Gao , Beijing Institute of Technology
Tingfa Xu , Beijing Institute of Technology
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.
INDEX TERMS
image denoising, image matching, image segmentation
CITATION

Y. Lu, Z. Hua, K. Gao and T. Xu, "Multiperspective Image Stitching and Regularization via Hybrid Structure Warping," in Computing in Science & Engineering, vol. 20, no. 2, pp. 10-23, 2018.
doi:10.1109/MCSE.2018.110112927
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