Digital video quality: vision models and metrics
Visual quality assessment is an interdisciplinary topic that links image/video processing, psychology and physiology. Many engineers are familiar with the image/video processing; transmission networks side of things but not with the perceptual aspects pertaining to quality. Digital Video Quality first introduces the concepts of human vision and visual quality. Based on these, specific video quality metrics are developed and their design is presented. These metrics are then evaluated and used in a number of applications, including image/video compression, transmission and watermarking.
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adaptation approximation band-pass band-pass filter blocking artifacts blocking distortion Branden Lambrecht chroma chroma subsampling CIE L*u*v codecs coding Color Space Conversion colorfulness rating components compression computed cone confidence intervals contrast gain control contrast sensitivity correlation defined discussed in section DMOS DSCQS encoded evaluation frame human visual system Image and Video implementation isotropic local contrast ITU-R ITU-R Rec low-pass luminance macroblock Mb/s mean opinion scores Models and Metrics MPEG multi-channel natural images neurons nonlinearity opponent color space optical orientation parameters PBDM PDM predictions perceived quality Perceptual Decomposition perceptual distortion metric pixels pooling prediction performance primary visual cortex PSNR psychophysical quality assessment quantization range rating differences receptive field responses retina scenes sharpness and colorfulness shown in Figure signals spatial frequency spatio-temporal stimuli subjective experiments subjective ratings test conditions test sequences transform video quality video quality metrics viewers viewing distance Vision Models VQEG test W-B channel wavelet Winkler