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Distortion Removal For Camera-Imaged Print Materials Using Boundary Interpolation

Camera-based imaging is used to digitize printed materials whose shape and size are not suitable for flatbed and Xerox scanning. Because these materials are not physically pressed flat before imaging, the resulting imaged content often appears distorted due to the material's underlying shape. We present a novel approach to correct common image distortions that arise in camera-imaged printed materials. Our approach uses the boundary information of the imaged material to compute a corrective warp to undo the distortion. Our algorithm is unique in that it simultaneously corrects for a variety of distortions including skew, binder curl, and distortions from folds. In addition, 2.5D information about the boundary can be incorporated to compensate for depth distortion.