A Perceptual Distinguishability Predictor For JND-noise-contaminated Images.
IEEE Transactions on Image Processing(2019)
摘要
Just noticeable difference (JND) models are widely used for perceptual redundancy estimation in images and videos. A common method for measuring the accuracy of a JND model is to inject random noise in an image based on the JND model, and check whether the JND-noise-contaminated image is perceptually distinguishable from the original image or not. Also, when comparing the accuracy of two different...
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关键词
Image coding,Databases,Feature extraction,Adaptation models,Noise measurement,Estimation
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