Various consumer electronics have become indispensable for our daily lives, and they rely
heavily on visual content, such as image, to deliver immersive experiences to users …

We propose a one-stop automatic cloud processing scheme for RSI, including weakly
supervised cloud detection and effective cloud removal. First, to avoid using massive …

Recently, minimizing the tensor tubal rank based on the tensor singular value
decomposition (t-SVD) has attracted significant attention in the tensor completion task. The …

The approach described in this research is an exemplar‐based inpainting problem that
combines a two‐stage structure tensor and image sparse representation to fill in any missing …

Image inpainting is a process that aims to restore the damaged part in the image to
reconstruct it and generate a high-quality semantic approximation to the original image [1] …

Medical diagnosis can be severely hindered by distorted medical images, especially in the
analysis of Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images …

Low-rank and nonlocal self-similarity are important priors for image restoration. Based on
nonlocal self-similarity assumption, similar patches are grouped into a matrix that is of low …

图像修复是一项利用图像已知区域的信息来修复图像中缺失或损坏区域的技术.
人们借助以此为基础的图像编辑软件无须任何专业基础就可以轻松地编辑和修改数字图像内容 …

Digital image inpainting is an interpolation problem, inferring the content in the missing
(unknown) region to agree with the known region data such that the interpolated result fulfills …

In recent years, the performance of deep neural networks in improving the image retrieval
process has been remarkable. Utilizing deep neural networks; however, leads to poor …