The success of any cultural imaging program is measured by the ability to deliver quality visual representations of original objects to a wider and increasingly global online audience. Any phase in the artwork reproduction cycle, from the initial digitization procedure to the ingest process used in the end user viewing device can introduce distortions that if left unchecked can result in a less than optimal audience experience.A growing number of institutions worldwide have adopted Metamorfoze and FADGI imaging protocols to create more consistent and measurably accurate representations of original artworks. Unfortunately, the range of this improved image quality does not always extend to the desktops and devices used by the typical internal or external user. A number of factors contribute to the loss of image quality as images typically pass through multiple digital systems and devices with varying levels of standards support.The focus of this paper is to illustrate potential methods for objective image analysis and quality assurance that extends the process control from the initial digitization all the way through to the most important experience—that of the end user.
William Scott Geffert, "Quality Assurance Methods for Online Image Representations" in Proc. IS&T Archiving 2013, 2013, pp 54 - 57, https://doi.org/10.2352/issn.2168-3204.2013.10.1.art00012