Open Access Research

A new quality assessment and improvement system for print media

Mohan Liu1*, Iuliu Konya2, Jan Nandzik3, Nicolas Flores-Herr3, Stefan Eickeler2 and Patrick Ndjiki-Nya1

Author Affiliations

1 Image Processing Department, Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Berlin, Germany

2 NetMedia Department, Fraunhofer Institute for Intelligent Analysis and Information System -IAIS, Sankt Augustin, Germany

3 Acosta Consult GmbH, Frankfurt, Germany

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EURASIP Journal on Advances in Signal Processing 2012, 2012:109  doi:10.1186/1687-6180-2012-109

Published: 15 May 2012

Abstract

Print media collections of considerable size are held by cultural heritage organizations and will soon be subject to digitization activities. However, technical content quality management in digitization workflows strongly relies on human monitoring. This heavy human intervention is cost intensive and time consuming, which makes automization mandatory. In this article, a new automatic quality assessment and improvement system is proposed. The digitized source image and color reference target are extracted from the raw digitized images by an automatic segmentation process. The target is evaluated by a reference-based algorithm. No-reference quality metrics are applied to the source image. Experimental results are provided to illustrate the performance of the proposed system. We show that it features a good performance in the extraction as well as in the quality assessment step compared to the state-of-the-art. The impact of efficient and dedicated quality assessors on the optimization step is extensively documented.