Deep Convolutional Neural Networks for estimating lens distortion parameters

Abstract

In this paper we present a convolutional neural network (CNN) to predict multiple lens distortion parameters from a single input image. Unlike other methods, our network is suitable to create high resolution output as it directly estimates the parameters from the image which then can be used to rectify even very high resolution input images. As our method it is fully automatic, it is suitable for both casual creatives and professional artists. Our results show that our network accurately predicts the lens distortion parameters of high resolution images and corrects the distortions satisfactory.

Publication

Deep Convolutional Neural Networks for estimating lens distortion parameters, Sebastian Lutz and Mark Davey and Aljosa Smolic, IMVIP 2019