In this paper, we present the digitization equipment and the digitization workflow at the National Library of Sweden (Kungliga Biblioteket, the KB). The workflow is designed towards a single goal; to achieve the highest possible digitization throughput using the least amount of resources - without any significant loss of quality or risk of compromising delicate objects.
For the image capture, we use a commodity DSLRs, the Canon 5D Mark II. To make the image capture more efficient, the labour intensive and error-prone tasks of organizing and renaming the image files are automatically performed by in-house software.
During post-processing, we derive files suitable for presentation. For the presentation files, we remove excess areas around the object and we color correct, resize and sharpen the images. These tasks are time-consuming to perform manually. Hence, we have developed an in-house application to automatically perform the post-processing with minimal input from the operator.
With the presented workflow, involving commodity hardware and extensive use of in-house software, we have been able to more than triple our digitization throughput despite limited financial resources. The pending use of edge-detection, image matching, and distributed computing will further increase the throughput without the need of additional resources.