Estimation of lens distortion correction from single images

Miroslav Goljan; Jessica Fridrich

doi:10.1117/12.2036804

19 February 2014 Estimation of lens distortion correction from single images

Miroslav Goljan, Jessica Fridrich

Proceedings Volume 9028, Media Watermarking, Security, and Forensics 2014; 90280N (2014) https://doi.org/10.1117/12.2036804
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

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).

Citation Download Citation

Miroslav Goljan and Jessica Fridrich "Estimation of lens distortion correction from single images", Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280N (19 February 2014); https://doi.org/10.1117/12.2036804

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