Composition of a Dewarped and Enhanced Document Image From Two View Images

Cited 30 time in Web of Science Cited 40 time in Scopus

Koo, Hyung Il; Kim, Jinho; Cho, Nam Ik

Issue Date
Institute of Electrical and Electronics Engineers (IEEE)
IEEE Transactions on Image Processing, vol. 18, no. 7, pp. 1551-1562
Document dewarpingSpecular reflection removalRobust surface estimationDocument image stitching
Abstract—In this paper, we propose an algorithm to compose
a geometrically dewarped and visually enhanced image from two
document images taken by a digital camera at different angles.
Unlike the conventional works that require special equipments
or assumptions on the contents of books or complicated image
acquisition steps, we estimate the unfolded book or document
surface from the corresponding points between two images. For
this purpose, the surface and camera matrices are estimated using
structure reconstruction, 3D-projection analysis, and RANSAC
(RANdom SAmple Consensus)-based curve fitting with the cylindrical
surface model. Because we do not need any assumption
on the contents of books, the proposed method can be applied
not only to OCR (optical character recognition), but also to the
high-quality digitization of pictures in documents. In addition
to the dewarping for a structurally better image, image mosaic
is also performed for further improving the visual quality. By
finding better parts of images (with less out of focus blur and/or
without specular reflections) from either of views, we compose a
better image by stitching and blending them. These processes are
formulated as energy minimization problems that can be solved
using a graph cut method. Experiments on many kinds of book
or document images show that the proposed algorithm robustly
works and yields visually pleasing results. Also, the OCR rate of
the resulting image is comparable to that of document images
from a flatbed scanner.
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Electrical and Computer Engineering (전기·정보공학부)Journal Papers (저널논문_전기·정보공학부)
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