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| One line summary | Need to identify images which show pixilation, banding, other artificial(?) artifacts in the image |
| Detailed description | Need to be able to identify these across large batches of images, and ideally know what causes it. Examples:
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| 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; |
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