|One line summary||Identifying duplicate images rotated during post-processing|
|Detailed description|| Several tools, including XCL Extractor/Comparator, ImageJ and pHash were briefly explored to determine if an image was a rotated copy of another image. The solution champion discovered that pHash was able to compare two images and make an assessment on the degree of similarity. Two images are compared and evaluated according to their level of similarity. If the images fit within a specified threshold (28% in the website implementation) they are declared as likely to be similar.
|Evaluation||Testing was performed on the pHash web site, comparing original images with those rotated within the defined parameters (0-5%). pHash correctly identified them as being similar. Different images that share some common headings have been compared and were (correctly) identified as different. Further work is necessary to develop a software tool that integrates the pHash library.|
|Issue|| Identification of same image at different levels of rotation
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