Progress in Camera-Based Document Image Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Low resolution character recognition by dual eigenspace and synthetic degraded patterns
Proceedings of the 1st ACM workshop on Hardcopy document processing
A Comprehensive Image Processing Suite for Book Re-mastering
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Thresholding of badly illuminated document images through photometric correction
Proceedings of the 2007 ACM symposium on Document engineering
A novel illumination-balance technique for improving the quality of degraded text-photo images
IEEE Transactions on Circuits and Systems for Video Technology
A cost-effective line-based light-balancing technique using adaptive processing
IEEE Transactions on Image Processing
Efficient light balancing techniques for text images in video presentation systems
IEEE Transactions on Circuits and Systems for Video Technology
The Watershed Transform: Definitions, Algorithms and Parallelization Strategies
Fundamenta Informaticae
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Digitization is critical for preserving valuable culture archives such as texts and images. Considering the physical characters of digital cameras or scanners and the artificial negligence, some distortions such as under-exposure or over-exposure often appear in the digital form of archives. These distortions decrease the quality of the digital pieces and lead to disputation in some circumstances. Several methods have been used to deal with these illumination problems. These existing methods mainly focus on how to mitigate the under-exposure phenomenon in text-only or text-photo images. Over-exposure cases in which brightness comes from different orientations are not considered. Hence, we propose a novel system for renovating irregular illumination (RII) to handle the over-exposure problem as well as under-exposure distortion. Experimental results show that the processing outcomes of RII can guarantee accurate restoration of the transformed digital pieces. In particular, RII can be extended to improve the uneven light distribution problem for complicated and colorful images.