Title :
Image restoration of arbitrarily warped documents
Author :
Brown, Michael S. ; Seales, W. Brent
Author_Institution :
Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Abstract :
We present a framework for acquiring and restoring images of warped documents. The purpose of our restoration is to create a planar representation of a once planar document that has undergone an arbitrary and unknown rigid deformation. To accomplish this restoration, our framework acquires and flattens the 3D shape of a warped document to determine a nonlinear image transform that can correct for image distortion caused by the document´s shape. Our framework is designed for use in library and museum digitization efforts where very old and badly damaged manuscripts are imaged.
Keywords :
document image processing; finite element analysis; image enhancement; image restoration; libraries; 3D warped document shape; arbitrarily warped documents; image distortion; image restoration; library digitization; museum digitization; nonlinear image transform; planar document; Cameras; Cultural differences; Image enhancement; Image processing; Image restoration; Nonlinear distortion; Optical distortion; Optical imaging; Shape; Software libraries; Index Terms- Manuscript restoration; cultural heritage digitization.; document deskewing; image restoration; Algorithms; Artifacts; Artificial Intelligence; Automatic Data Processing; Cluster Analysis; Computer Graphics; Documentation; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Manuscripts as Topic; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2004.87
