Perceptual Image Diff comparison

One line summary	A wrapper around Perceptual Diff Image Comparison tool to compare images, possible issues may be detected if the results are not sufficiently close.
Detailed description	Simple wrapper script which walks through a folder and compares each image using Perceptual Image Diff which emulates the way a human looks at an image. It uses a treshold of number of pixels that are allowed to be different. Consult the Perceptual Image Diff webpage for more in-depth information about this technology. The tool reports back: - if images are (almost) the same and reports back the number of different pixels (PASS) - if images are not the same (FAIL) - if an error occured (ERROR)
Solution champion	Maurice de Rooij
Git link	https://github.com/openplanets/AQuA/tree/master/perceptual-diff
Group Evaluation Notes	Several approaches explored, some drawbacks/obstacles encountered Potential to explore the configuration and trial with larger sample sets WSQ approach may yield best results but requires more investment in building a usable tool First version of wrapper is written in PHP. Maurice will rewrite this in python, since it is more industry-standard. Mette and Maurice will do some further testing Could also do further use/investigation at next AQuA event Fingerprinting is very memory hungry, Maurice recommends Linux rather than Windows De-duplication application requires a lot of comparisons, e.g.: comparing 100 files takes 56 comparisons. QA application more suited for this reason
Detailed Evaluation	Possibly a useful tool for first 'quick' scan of duplicates in collections of scans and images. It is quiet slow on Windows and eating up a lot memory when comparing images which are bigger than 100kB. CPU is probably not an issue. On Windows it used max 50 percent of CPU power, as reported by taskmanager. This might be a false number, needs further investigation.
Tool (link)	Perceptual Image Difference utility http://pdiff.sourceforge.net/
Issue	Identifying missed or duplicated pages Finding duplicate images