A perceptual distortion metric for digital color images

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Generating Images with Perceptual Similarity Metrics based on Deep Networks (2016, background): “Some prominent examples are the visible differences predictor [9], the spatio-temporal model for moving picture quality assessment [10], and the perceptual distortion metric of Winkler [11].”
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images (2007, unknown): “, [0-255] for 8-bit images).”
Digital Video Quality: Vision Models and Metrics (2005, background): “The underlying vision model, an extension of a model for still images (Winkler, 1998), focuses on the following aspects of human vision:”
Statistical evaluation of image quality measures (2002, background): “The outputs of the derivative of Gaussians of each band are averaged, and the resulting average output is interpolated, thresholded and thinned in a manner similar to that in [12].”
Learning to generate images with perceptual similarity metrics (2015, methodology): “Some are built on complex models of the human visual system, such as the Sarnoff JND model [23], the visual differences predictor [5], the moving picture quality metric [31], the perceptual distortion metric [35], and the metric of [10].”