Geometric and shading correction for images of printed materials using boundary

Authors:
M. S. Brown;Y. -C. Tsoi
Affiliations:
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore;-
Venue:
IEEE Transactions on Image Processing
Year:
2006

Citing 0
Cited 11

Restoring 2D Content from Distorted Documents

IEEE Transactions on Pattern Analysis and Machine Intelligence
A new system to acquire and restore document shape and content

PROCAMS '08 Proceedings of the 5th ACM/IEEE International Workshop on Projector camera systems
A unified framework for document restoration using inpainting and shape-from-shading

Pattern Recognition
Photometric and geometric restoration of document images using inpainting and shape-from-shading

AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Composition of a dewarped and enhanced document image from two view images

IEEE Transactions on Image Processing
A new technique for the digitization and restoration of deteriorated photographic negatives

Journal on Image and Video Processing - Special issue on image and video processing for cultural heritage
User-assisted ink-bleed reduction

IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Grid-based modelling and correction of arbitrarily warped historical document images for large-scale digitisation

Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
An image based performance evaluation method for page dewarping algorithms using SIFT features

CBDAR'11 Proceedings of the 4th international conference on Camera-Based Document Analysis and Recognition
Automatic performance evaluation of dewarping methods in large scale digitization of historical documents

Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Geometric and colorimetric error compensation for multi-view images

Journal of Visual Communication and Image Representation

Quantified Score

Hi-index	0.01

Visualization

Abstract

A novel technique that uses boundary interpolation to correct geometric distortion and shading artifacts present in images of printed materials is presented. Unlike existing techniques, our algorithm can simultaneously correct a variety of geometric distortions, including skew, fold distortion, binder curl, and combinations of these. In addition, the same interpolation framework can be used to estimate the intrinsic illumination component of the distorted image to correct shading artifacts. We detail our algorithm for geometric and shading correction and demonstrate its usefulness on real-world and synthetic data.