Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994 · 101 citations · 0 references
MedicineNeuroscienceVision ScienceVisual NeuroscienceVisual PerceptionVisual PsychophysicsImage QualitySignal Detection TheoryVisual SystemHuman Information ProcessingHuman Visual ResponseImage Quality MetricsImage Quality PredictionMean Squared ErrorPrimary Visual Cortex FunctionPrimary Visual Cortex Receptive FieldsSpatial Pattern Detection
In this paper, we present a perceptual distortion measure that predicts image integrity far better than mean-squared error. This perceptual distortion measure is based on a model of human visual processing that fits empirical measurements of: (1) the response properties of neurons in the primary visual cortex, and (2) the psychophysics of spatial pattern detection. We also illustrate the usefulness of the model in measuring perceptual distortion in real images.