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EAP Issue 4 Detecting Visual Errors

Created by Endangered Archives Programme on Jun 13, 2011 · last edited by Endangered Archives Programme · on Jun 14, 2011 (view history) · 4 versions

One line summary	Images with errors can only be properly identified once they have been looked at individually (some appear in Bridge to be fine, while others will show some error).Need to identify images which show pixilation, banding, other errors in the image
Detailed description	Some of our images have problems with pixilation, banding and other errors. These will not always be picked up with manual checks because the thumnails in Bridge are small, we will not check each image, we are not always sure what we're looking for, etc. We need to be able to identify these across large batches of images, and ideally know what causes it. Examples: EAP012 There is coloured banding across the image, and some visual information is missing (lines in drawing do not meet up at either side of the error) EAP219 As above, also coloured pixels scattered throughout image
Issue champion	John Salter, Matt Ruane
Possible approaches	Find good (non-problematic) images and get an idea of what a 'valid' histogram looks like, then compare all images in a batch to find any outliers
Context
AQuA Solutions
Collections	EAP;