Reinhold Huber-Mörk, Alexander Schindler:
Quality Assurance for Document Image Collections in Digital Preservation
In: Advanced Concepts for Intelligent Vision Systems
Lecture Notes in Computer Science, 2012, Volume 7517/2012, 108-119, DOI: 10.1007/978-3-642-33140-4_10
Abstract
Maintenance of digital image libraries requires to frequently asses the quality of the images to engage preservation measures if necessary. We present an approach to image based quality assurance for digital image collections based on local descriptor matching. We use spatially distinctive local keypoints of contrast enhanced images and robust symmetric descriptor matching to calculate affine transformations for image registration. Structural similarity of aligned images is used for quality assessment. The results show, that our approach can efficiently asses the quality of digitized documents including images of blank paper.
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