Super-resolution (SR) technique reconstructs a higher-resolution image or sequence from
the observed LR images. As SR has been developed for more than three decades, both …

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 …

In the field of multispectral (MS) and panchromatic image fusion (pansharpening), the
impressive effectiveness of deep neural networks has recently been employed to overcome …

摘要由于广泛的实用价值与理论价值, 超分辨率图像重建(Super-resolution image
reconstruction, SRIR 或SR) 技术成为计算机视觉与图像处理领域的一个研究热点 …

The amount of noise included in a hyperspectral image limits its application and has a
negative impact on hyperspectral image classification, unmixing, target detection, and so on …

Example learning-based superresolution (SR) algorithms show promise for restoring a high-
resolution (HR) image from a single low-resolution (LR) input. The most popular …

In this work, we propose a utility-driven preprocessing technique for high-efficiency screen
content video (SCV) compression based on the temporal masking effect, which was found to …

Total variation (TV) has been used as a popular and effective image prior model in
regularization-based image processing fields, such as denoising, deblurring, super …

The spatial resolution of a hyperspectral image is often coarse because of the limitations of
the imaging hardware. Super-resolution reconstruction (SRR) is a promising signal post …

In this paper, an adjustable model-based image fusion method for multispectral (MS) and
panchromatic (PAN) images is developed. The relationships of the desired high spatial …