A new optimal seam method for seamless image stitching

Jiale Xue; Shengyong Chen; Xu Cheng; Ying Han; Meng Zhao

doi:10.1117/12.2281741

21 July 2017 A new optimal seam method for seamless image stitching

Jiale Xue, Shengyong Chen, Xu Cheng, Ying Han, Meng Zhao

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104201M (2017) https://doi.org/10.1117/12.2281741
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

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.

Citation Download Citation

Jiale Xue, Shengyong Chen, Xu Cheng, Ying Han, and Meng Zhao "A new optimal seam method for seamless image stitching", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104201M (21 July 2017); https://doi.org/10.1117/12.2281741

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