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This study investigates the relationship between perceptual attributes on printed images and likeness preference as well as the influence of edge enhancement method. Printed images with varied edge enhancement filtering weights of four objects in everyday life were evaluated by observers in psychophysical experiment. By data analysis, it was found that three quality attributes such as image quality, detail expression and naturalness were sufficient to represent perceptual quality of images, by which they would probably influence in final decision of Like and Dislike of images. 5 stage-estimation indicated that there was a sensation limit based on these three attributes, depending on each object. The observers were able to some extent to differentiate the perceptual quality of printed images due to easy recognition of their clues. The relationship between the estimated data of three attributes and likeness preference was established. This finding could predict the likeness preferences of mixed objects in printed images for chosen edge enhancement filtering weight.
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