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In this paper, we study how human observers judge image similarity. To do so, we have conducted two psychophysical scaling experiments and have compared the results to two algorithmic image similarity metrics. For these experiments, we selected a set of 97 digitized photographic images which represent a range of semantic categories, viewing distances, and colors. We then used the two perceptual and the two algorithmic methods to measure the similarity of each image to every other image in thedoi:10.1117/12.320148 dblp:conf/hvei/RogowitzFSBK98 fatcat:bqq2rupfbfbr3lfafwrcgvkfy4