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A new optimal seam method for seamless image stitching
Author(s): Jiale Xue; Shengyong Chen; Xu Cheng; Ying Han; Meng Zhao
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Paper Abstract

A novel optimal seam method which aims to stitch those images with overlapping area more seamlessly has been propos ed. Considering the traditional gradient domain optimal seam method and fusion algorithm result in bad color difference measurement and taking a long time respectively, the input images would be converted to HSV space and a new energy function is designed to seek optimal stitching path. To smooth the optimal stitching path, a simplified pixel correction and weighted average method are utilized individually. The proposed methods exhibit performance in eliminating the stitching seam compared with the traditional gradient optimal seam and high efficiency with multi-band blending algorithm.

Paper Details

Date Published: 21 July 2017
PDF: 6 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104201M (21 July 2017); doi: 10.1117/12.2281741
Show Author Affiliations
Jiale Xue, Tianjin Univ. of Technology (China)
Shengyong Chen, Tianjin Univ. of Technology (China)
Xu Cheng, Tianjin Univ. of Technology (China)
Ying Han, Tianjin Univ. of Technology (China)
Meng Zhao, Tianjin Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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