No-reference noticeable blockiness estimation in images
Image Communication
A JND Guided Foveation Video Coding
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Locally Adaptive Perceptual Compression for Color Images
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Spatio-temporal just noticeable distortion profile for grey scale image/video in DCT domain
IEEE Transactions on Circuits and Systems for Video Technology
Spatio-temporal Just Noticeable Distortion Model Guided Video Watermarking
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Modeling the masking effect of the human visual system with visual attention model
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Perceptually-friendly H.264/AVC video coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A new perceptual quality metric for video transrating for mobile devices
Proceedings of the 2010 ACM multimedia workshop on Mobile cloud media computing
Scalable and credible video watermarking towards scalable video coding
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
A new spatio-temporal JND model based on 3D pyramid decomposition
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
Foetal motion classification using optical flow displacement histograms
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Mobile JND: environment adapted perceptual model and mobile video quality enhancement
Proceedings of the 3rd Multimedia Systems Conference
Proceedings of the 4th ACM Multimedia Systems Conference
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Just-noticeable distortion (JND), which refers to the maximum distortion that the human visual system (HVS) cannot perceive, plays an important role in perceptual image and video processing. In comparison with JND estimation for images, estimation of the JND profile for video needs to take into account the temporal HVS properties in addition to the spatial properties. In this paper, we develop a spatio-temporal model estimating JND in the discrete cosine transform domain. The proposed model incorporates the spatio-temporal contrast sensitivity function, the influence of eye movements, luminance adaptation, and contrast masking to be more consistent with human perception. It is capable of yielding JNDs for both still images and video with significant motion. The experiments conducted in this study have demonstrated that the JND values estimated for video sequences with moving objects by the model are in line with the HVS perception. The accurate JND estimation of the video towards the actual visibility bounds can be translated into resource savings (e.g., for bandwidth/storage or computation) and performance improvement in video coding and other visual processing tasks (such as perceptual quality evaluation, visual signal restoration/enhancement, watermarking, authentication, and error protection)