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PERCEPTUAL ATTRIBUTES AND PSYCHOMETRICS
PERCEPTUAL IMAGE QUALITY MODELING
OBJECTIVE ATTRIBUTES CHARACTERIZATION I
adapted algorithm analysis applied areas assessment average background banding calculated camera characteristics characterization coefficient color compared components computed considered consistent contrast conversion correlation corresponding defects defined dependent described determined device direction display distortion distribution edge effect error estimation evaluation example experiment Figure frames freeze frequency function given gloss grain green human illumination image quality imaging system increases indicate length mean measurement method metrics modulation noise normal objective observers obtained optimal original output parameters pattern perceived perceptual performance pixel presented printer Proc proposed range reference Region represents respectively response sample scale scanner sequence sharpness shown shows signal simulated space spatial specific standard statistical subjective Table transform uniform values video quality viewing visual white point workflow