DCT-based just noticeable distortion for color image/video
Kuo‐Cheng Liu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
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.