A new framework for automatic quality assessment of print media

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 paper, a new automatic quality assessment framework is proposed. The digitized source image and a 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 framework. We show that our approach yields a significant improvement in the extraction as well as in the quality assessment step compared to the state-of-the-art.