210 likes | 334 Vues
This presentation by Michael Stelmach from the Library of Congress outlines key challenges in evaluating image quality within federal digitization initiatives. It covers defining content categories and imaging objectives, establishing quality measures, and identifying standard methods for performance evaluation. A roadmap is presented for image requirements, emphasizing performance metrics such as color depth and pixel density. Tools like the Digital Image Conformance Evaluation (DICE) system are introduced for assessing imaging device performance and software validation. Visit http://digitizationguidelines.gov/ for updates.
E N D
EVALUATING IMAGING QUALITY Federal Agencies Digitization Initiative – Still Image Working Group Presented by Michael Stelmach Library of Congress, Office of Strategic Initiatives March, 2009
The Challenge • Define Content Categories • Define Imaging Objectives • Decide on Measures of Quality • Identify Standard Methods to Derive Measures • Design Tools to Evaluate Image Performance and Quality • Create Standard Methods of Evaluation
Progress • Detailed definitions established for content categories and imaging objectives • Performance measures to be captured and defined (current) • Performance measurement standards identified • Tools developed to validate required image performance measures to actual values
Roadmap to Image Requirements – Content and Objectives Combined with…
Advances Image Specs From • Color vs. Monochromatic • Bit Depth • Pixel Density
To…. Specific to content and objectives…
Image Performance Measure – Tools • Digital Image Conformance Evaluation (DICE) System • Targets providing known references • Device Target – Imaging Device Performance • Object Target – Actual Image Quality • Evaluation/Validation Software – LabVIEW-based • Data export for use in SQC/SPC
More to Come… To keep up with our progress and submit your suggestions, please visit http://digitizationguidelines.gov/