Date: Monday 18 May, 2020
Time: 15:45 - 17:45 (2 hours)
Track: Integration, Workflow, and Quality Control
Level: Introductory
Instructor: Lei He

Benefits: This course enables the attendee to:

• Understand common imaging quality factors and the corresponding ISO standards.
• Understand the FADGI guideline for imaging quality assessment.
• Know how to install and use OpenDICE on PC and MAC.
• Case study: the application of OpenDICE results to monitor imaging device performance variations.

Course Description
The course presents OpenDICE software as an open license solution for digital imaging quality assessment. We matched the FADGI (Federal Agencies Digitization Guidelines Initiative) specifications to construct the digital imaging quality assessment criteria in OpenDICE, which evaluates the image quality in three major categories: tonescale, color accuracy, and resolution analysis. The software currently supports twelve commercially available targets, and will support new targets under development. Two versions of the software were developed — one for individual image quality analysis, which offers user interaction to control the assessment criteria, and the other for batch image processing, which collects the assessment results for statistical analysis. More and more users from over ten different countries are now using OpenDICE for their digitization jobs. This course provides a comprehensive solution to address issues in using the software.

Intended Audience: Digitization or digital preservation technicians working in museums and libraries who have quality assurance needs.

Lei He is a digital imaging scientist in the Technology Policy Directorate in the Library of Congress. He received his PhD in electrical engineering from the University of Cincinnati (2003). Since then he has worked as a faculty member at Georgia Southern University for six years and was awarded tenure in 2009 as an associate professor. Before joining the Library of Congress, he worked at the National Institutes of Health for two years as a visiting scholar. His research interests include digital image processing and computer vision, machine learning, and statistical analysis.