Instructor: Lei He, Library of Congress
Level: Introductory
Duration: 2 hours
Course Date/Time: Monday, June 19 3:45 PM - 5:45 PM
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, 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 12 commercially available targets, and will support new targets that are currently 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. Used in many countries, this course provides a comprehensive walkthrough of 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 Library of Medicine for two years as a visiting scholar. His research interests include digital image processing and computer vision, machine learning, and statistical analysis.