An interpolation method for strong barrel lens distortion

Autor: Hyungkeun Lee, Changwon Choi, Joonhwan Yi
Rok vydání: 2017
Předmět:
Zdroj: The Visual Computer. 34:1479-1491
ISSN: 1432-2315
0178-2789
DOI: 10.1007/s00371-017-1414-5
Popis: 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.
Databáze: OpenAIRE