Geometric and Photometric Correction of Projected Rectangular Pictures

This article presents a method for removing geometric distortions in taken images of rectangular planar patterns (such as maps, pictures, or posters) in the absence of any calibration information or explicit knowledge of the imaging device. Our approach removes lens distortion form single-view images. The method is based on Least-Square-Error (LSE) approximations and Hough transforms. We approximate the lens distortion by considering only lower-order terms of the lens distortion. We further apply plane homography to undistort the perspective view and use texture fusion of different views to remove flash lights. Our algorithm transforms images of a planar pattern into an appealing image by eliminating different types of distortion (lens, perspective, flash light).