Automatically Assessing MPEG Coding Fidelity
IEEE Design & Test
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Power-Aware 3D Computer Graphics Rendering
Journal of VLSI Signal Processing Systems
A patch-based structural masking model with an application to compression
Journal on Image and Video Processing - Special issue on patches in vision
Energy-driven statistical sampling: detecting software hotspots
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Enhanced performance metrics for blind image restoration
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
A new reduced reference metric for color plus depth 3D video
Journal of Visual Communication and Image Representation
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This paper describes a spatio-temporal model of the human visual system (HVS) for video imaging applications, predicting the response of the neurons of the primary visual cortex. The model simulates the behavior of the HVS with a three-dimensional filter bank which decomposes the data into perceptual channels, each one being tuned to a specific spatial frequency, orientation and temporal frequency. It further accounts for contrast sensitivity, inter-stimuli masking and spatio-temporal interaction. The free parameters of the model have been estimated by psychophysics. The model can then be used as the basis for many applications. As an example, a quality metric for coded video sequences is presented.