Purpose In radiotherapy, MRI is used for target volume and organs-at-risk delineation for its
superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the …

The highly demanding Over-The-Top (OTT) multimedia applications pose increased
challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of …

Objective measures of image quality generally operate by comparing pixels of a “degraded”
image to those of the original. Relative to human observers, these measures are overly …

In this paper, we present an extensive review on deep learning methods for image
restoration tasks. Deep learning techniques, led by convolutional neural networks, have …

We present a deep neural network-based approach to image quality assessment (IQA). The
network is trained end-to-end and comprises ten convolutional layers and five pooling layers …

We review a class of methods that can be collected under the name nonlinear transform
coding (NTC), which over the past few years have become competitive with the best linear …

The performance of objective image quality assessment (IQA) models has been evaluated
primarily by comparing model predictions to human quality judgments. Perceptual datasets …

Numerous single-image super-resolution algorithms have been proposed in the literature,
but few studies address the problem of performance evaluation based on visual perception …

It is an important task to faithfully evaluate the perceptual quality of output images in many
applications, such as image compression, image restoration, and multimedia streaming. A …

We propose a natural scene statistic-based distortion-generic blind/no-reference (NR)
image quality assessment (IQA) model that operates in the spatial domain. The new model …