Temporal color Just Noticeable Distortion model and its application for video coding

Just Noticeable Distortion (JND), which is utilized to reduce the bit rate without introducing noticeable visual distortion, plays an important role in perceptual image and video processing. For the temporal color JND, it takes into account not only the spatial and luminance HVS properties, but also the temporal and chroma HVS properties. In this paper, we first develop a spatio-temporal model estimating JND for color video by completely incorporating the color CSF, the frequency property of DCT coefficient, the contrast masking effect and the motion property. Then we incorporate the JND model into video encoding system via the residue filtering process. This method can work with any prevalent video coding standards. To demonstrate the effectiveness of the JND model, we has implemented it into the H.264/AVC reference software JM12.4 and the experimental results show that the bit rate can be reduced by average 18.20%, which reflects that our JND model is able to exploit the HVS bounds more aggressively without introducing noticeable visual distortions.