Abstract
This paper addresses the problem of lateral chromatic aberration correction in images through color planes warping. We aim at high precision (largely sub-pixel) realignment of color channels. This is achieved thanks to two ingredients: high precision keypoint detection, which in our case are disk centers, and more general correction model than what is commonly used in the literature, radial polynomial. Our setup is quite easy to implement, requiring a pattern of black disks on white paper and a single snapshot. We measure the errors in terms of geometry and of color and compare our method to three different software programs. Quantitative results on real images show that our method allows alignment of average 0.05 pixel of color channels and a residual color error divided by a factor 3 to 6. © 2014 Springer-Verlag Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Rudakova, V., & Monasse, P. (2014). Precise correction of lateral chromatic aberration in images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8333 LNCS, pp. 12–22). Springer Verlag. https://doi.org/10.1007/978-3-642-53842-1_2
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.