Estimation of lens distortion correction from single images
Miroslav Goljan, Jessica Fridrich · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
In this paper, we propose a method for estimation of camera lens distortion correction from a single image. Without relying on image EXIF, the method estimates the parameters of the correction by searching for a maximum energy of the so-called linear pattern introduced into the image during image acquisition prior to lens distortion correction. Potential applications of this technology include camera identification using sensor fingerprint, narrowing down the camera model, estimating the distance between the photographer and the subject, forgery detection, and improving the reliability of image steganalysis (detection of hidden data).