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Seam elimination based on Curvelet for image stitching

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Abstract

Image stitching has developed rapidly in recent years. Seam elimination plays a critical role in image stitching. Therefore, an improved seam elimination method of image stitching is proposed in the paper. First of all, images are registered. Then, optimal seam method based on Curvelet transformation is proposed to eliminate the seam. Objective evaluation indexes (PSNR and SSIM) are employed to evaluate the performance of the proposed method in the experimental results. A new metric of assessing the local quality of the stitched image is also proposed in the paper. Three groups of images are tested under this metric. Experimental results show that our method can eliminate the seam in an efficient way.

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Acknowledgements

This work was jointly supported by National Natural Science Foundation of China (Grant No. 61201421) and the Fundamental Research Funds for the Central Universities(lzujbky-2017-187).

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Authors and Affiliations

  1. School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China

    Zhaobin Wang & Zekun Yang

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  1. Zhaobin Wang
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  2. Zekun Yang
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Correspondence to Zhaobin Wang.

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The authors declare that they have no potential conflict of interest.

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Communicated by V. Loia.

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Wang, Z., Yang, Z. Seam elimination based on Curvelet for image stitching. Soft Comput 23, 5065–5080 (2019). https://doi.org/10.1007/s00500-018-3175-0

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  • DOI: https://doi.org/10.1007/s00500-018-3175-0

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