An interpolation method for strong barrel lens distortion
Autor: | Hyungkeun Lee, Changwon Choi, Joonhwan Yi |
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Rok vydání: | 2017 |
Předmět: |
Demosaicing
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Trilinear interpolation Bilinear interpolation 020207 software engineering Stairstep interpolation 02 engineering and technology Computer Graphics and Computer-Aided Design Multivariate interpolation Nearest-neighbor interpolation 0202 electrical engineering electronic engineering information engineering Bicubic interpolation 020201 artificial intelligence & image processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Software ComputingMethodologies_COMPUTERGRAPHICS Mathematics Interpolation |
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 |
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