Single image super-resolution is an ill-posed problem, whose purpose is to acquire a high-
resolution image from its degraded observation. Existing deep learning-based methods are …

This paper proposes a new haze layer based single image dehazing algorithm. The residual
images, which exists between the hazy images and the clear images, will be firstly obtained …

This paper proposes a novel technique for single image dehazing using adaptive nearest
neighbor regularization to obtain a haze-free transmission map and then approximating the …

Although deep neural networks (DNNs) have led to many remarkable results in cognitive
tasks, they are still far from catching up with human-level cognition in antinoise capability …

This paper proposes a novel method of lane detection, which adopts VGG16 as the basis of
convolutional neural network to extract lane line features by cavity convolution, wherein the …

Sparse representation and low-rank approximation have recently attracted great interest in
the field of image denoising. However, they have limited ability for recovering complex …

Low-rank approximation-based methods have recently achieved impressive results in image
restoration. Generally, the low-rank constraint integrated with the nonlocal self-similarity …

The object detection in UAV application is a challenging task due to the diversity of target
scales, variation of views, and complex backgrounds. To solve several challenges, including …

Digital images and videos have great influence in daily life applications such as satellite
television, surveillance application, medical image application as well as in areas of …

Writer identification (WI) is a typical pattern recognition problem with the goal of recognizing
the writer of a text from images of his or her handwriting. For handwriting-based applications …