In this paper, we design a DCT-based model for estimating spatio-temporal just noticeable distortion (JND) profiles
of color image/video. Based on a mathematical model of measuring the base detection threshold for each DCT
coefficient in the color component of color images, the masking adjustments for luminance component and chrominance
components are utilized for estimating the spatial JND profiles. The above spatial JND profiles are extended to video
signals by incorporating the proposed block-based temporal masking adjustment mainly considering local temporal
statistics in luminance component. The model is verified by designing a subjective viewing test of evaluating the visual
quality under the specified viewing condition. In the experiment, the test video is contaminated by the estimated JND
profiles in the DCT domain and is compared with the original video. The simulation results show that the JNDcontaminated
color video has nearly perceptual lossless visual quality and the model is able to estimate the JND profiles
inherent in color videos.
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