Super-resolution, the process of obtaining one or more high-resolution images from one or
more low-resolution observations, has been a very attractive research topic over the last two …

This paper comprehensively surveys the development of face hallucination (FH), including
both face super-resolution and face sketch-photo synthesis techniques. Indeed, these two …

Low-light images typically suffer from two problems. First, they have low visibility (ie, small
pixel values). Second, noise becomes significant and disrupts the image content, due to low …

We consider image transformation problems, where an input image is transformed into an
output image. Recent methods for such problems typically train feed-forward convolutional …

Single-image super-resolution is of great importance for vision applications, and numerous
algorithms have been proposed in recent years. Despite the demonstrated success, these …

Lossy image and video compression algorithms yield visually annoying artifacts including
blocking, blurring, and ringing, especially at low bit-rates. To reduce these artifacts, post …

This paper presents a new approach to single-image superresolution, based upon sparse
signal representation. Research on image statistics suggests that image patches can be well …

In this paper, we propose a novel method for solving single-image super-resolution
problems. Given a low-resolution image as input, we recover its high-resolution counterpart …

We propose a new high-quality and efficient single-image upscaling technique that extends
existing example-based super-resolution frameworks. In our approach we do not rely on an …

In this paper, we propose an image super-resolution approach using a novel generic image
prior-gradient profile prior, which is a parametric prior describing the shape and the …