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An interpolation method for strong barrel lens distortion

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Abstract

We propose an interpolation method considering strong barrel distortion of a fisheye lens using nearest pixels on a corrected image. The correction of barrel distortion comprises coordinate transformation and interpolation, and this paper focuses on interpolation. The proposed interpolation method uses nearest coordinates on a corrected image rather than on a distorted image, unlike existing techniques. The increased computational complexity of the proposed interpolation method is alleviated by using look-up table (LUT)-based optimization. Experimental results show that both subjective and objective image qualities are improved with marginal execution time.

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Acknowledgements

The present Research has been conducted by the Research Grant of Kwangwoon University in 2016. This work was supported by the Industrial Strategic Technology Development Program (10047664, Automatic power model generation software development for low power designs with more than 300 times faster power analysis speed and less than 20% error rate on average with respect to the gate-level power models) funded by the Ministry of Trade, industry & Energy (MI, Korea). This work was supported by IDEC(EDA Tool, MPW).

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  1. Department of Computer Engineering, Kwangwoon University, 20, Gwangun-ro, Nowon-gu, Seoul, South Korea

    Changwon Choi, Hyungkeun Lee & Joonhwan Yi

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  1. Changwon Choi
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  2. Hyungkeun Lee
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  3. Joonhwan Yi
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Correspondence to Joonhwan Yi.

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Choi, C., Lee, H. & Yi, J. An interpolation method for strong barrel lens distortion. Vis Comput 34, 1479–1491 (2018). https://doi.org/10.1007/s00371-017-1414-5

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