An interpolation method for strong barrel lens distortion

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.