摘要图像超分辨率复原(Super resolution restoration, SR) 技术是图像处理领域的研究热点,
在视频监控, 图像处理, 刑侦分析等领域具有广泛的应用需求. 近年来, 深度学习在多媒体处理 …

This paper presents a new formulation of the regularized image up-sampling problem that
incorporates models of the image acquisition and display processes. We give a new analytic …

We propose an isophote-oriented, orientation-adaptive interpolation method. The proposed
method employs an interpolation kernel that adapts to the local orientation of isophotes, and …

The current breakthroughs in the highway research sector have resulted in a greater
awareness and focus on the construction of an effective Intelligent Transportation System …

High-definition display technology for underwater images is of great significance for many
applications, such as marine animal observation, seabed mining, and marine fishery …

Regularization is one of the most promising methods for image up-sampling, which is an ill-
posed inverse problem. A key element of such a regularization approach is the observation …

An original image magnification method called induction was proposed recently, whose
specificity is to state the problem of image magnification as an inverse problem of image …

Image super-resolution and deblurring are two highly ill-posed problems that are usually
dealt separately. However, real-world images are often low-resolution and have complex …

Although neural networks are most commonly used in the field of image super-resolution
(SR), methods based on decision trees are still discussed. These kinds of algorithm need …

In this contribution, we present an algorithm for motion compensated video super-resolution
that combines the models we have developed for regularized image up-sampling and image …