Correcting chromatic aberrations using image warping

Chromatic aberration is due to refraction affecting each color channel differently. This paper addresses the use of image warping to reduce the impact of these aberrations in vision applications. The warp is determined using edge displacements which are fit with cubic splines. A new image reconstruction algorithm is used for nonlinear resampling. The main contribution of this work is to analyze the quality of the warping approach by comparing it with active lens control. Two different imaging systems are tested. 1 Introduction In an imaging system, refraction causes each color channel to focus differently. This phenomenon is called chromatic aberration. Chromatic aberration (hereafter CA) is generally broken up into two categories: axial chromatic aberrations (ACA) and lateral chromatic aberrations (LCA), e.g. see 7. ACA manifests itself as blurring; LCA as geometric distortions. Often these sources of degradation cause measurable differences in color images, e.g., a simple CCTV le...