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A Unified Framework for Document Restoration using Inpainting and Shape-from-Shading
, 2009
"... We present a restoration framework to reduce undesirable distortions in imaged documents. Our framework is based on two components: 1) an image inpainting procedure that can separate non-uniform illumination (and other) artifacts from the printed content; and 2) a Shape-from-Shading (SfS) formulatio ..."
Abstract
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We present a restoration framework to reduce undesirable distortions in imaged documents. Our framework is based on two components: 1) an image inpainting procedure that can separate non-uniform illumination (and other) artifacts from the printed content; and 2) a Shape-from-Shading (SfS) formulation that can reconstruct the 3D shape of the document’s surface. Used either piecewise or in its entirety, this framework can correct a variety of distortions including shading, shadow, ink-bleed, show-through, perspective and geometric distortions, for both camera-imaged and flatbed-imaged documents. Our overall framework is described in detail. In addition, our SfS formulation can be easily modified to target various illumination conditions to suit different real-world applications. Results on images of synthetic and real documents demonstrate the effectiveness of our approach. OCR results are also used to gauge the performance of our approach.

