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Abstract
AbstractThis paper presents a quantitative selection method for still images for use in assessment tests to obtain reasonable assessment results for high‐quality images in subjective assessment tests of high‐definition television (HDTV) signals. First, based on the selection criterion which is to select images that exhibit the characteristic of high quality, it was clarified that the three elementary psychological factors of vividness, comfortableness, and sharpness constituted the characteristics of high‐quality images and that the amplitudes of these psychological factors could be quantified by means of the statistics of the HVC signal distribution in the Munsell color space of the image.Next, based on the selection criterion where images can be evaluated accurately even when slightly degraded, subjective assessment tests were performed for random additive noise, high‐frequency cutoff, and adaptive DCT coding distortion. The results showed clearly that images suited for use in the assessment test of each degradation could be selected based on the statistics of the image HVC signal distribution. By performing assessment tests using the smallest possible number of images selected by the guidelines presented here, assessment results can easily be obtained efficiently and reliably.
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