A comprehensive review on deep learning based remote sensing image super-resolution methods
Satellite imageries are an important geoinformation source for different applications in the
Earth Science field. However, due to the limitation of the optic and sensor technologies and …
Earth Science field. However, due to the limitation of the optic and sensor technologies and …
Real-world single image super-resolution: A brief review
Single image super-resolution (SISR), which aims to reconstruct a high-resolution (HR)
image from a low-resolution (LR) observation, has been an active research topic in the area …
image from a low-resolution (LR) observation, has been an active research topic in the area …
Learning a sparse transformer network for effective image deraining
Transformers-based methods have achieved significant performance in image deraining as
they can model the non-local information which is vital for high-quality image reconstruction …
they can model the non-local information which is vital for high-quality image reconstruction …
Blind image quality assessment via vision-language correspondence: A multitask learning perspective
We aim at advancing blind image quality assessment (BIQA), which predicts the human
perception of image quality without any reference information. We develop a general and …
perception of image quality without any reference information. We develop a general and …
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution
Over the past few years, single image super-resolution (SR) has become a hotspot in the
remote sensing area, and numerous methods have made remarkable progress in this …
remote sensing area, and numerous methods have made remarkable progress in this …
Generative diffusion prior for unified image restoration and enhancement
Existing image restoration methods mostly leverage the posterior distribution of natural
images. However, they often assume known degradation and also require supervised …
images. However, they often assume known degradation and also require supervised …
Exploring clip for assessing the look and feel of images
Measuring the perception of visual content is a long-standing problem in computer vision.
Many mathematical models have been developed to evaluate the look or quality of an …
Many mathematical models have been developed to evaluate the look or quality of an …
Maniqa: Multi-dimension attention network for no-reference image quality assessment
Abstract No-Reference Image Quality Assessment (NR-IQA) aims to assess the perceptual
quality of images in accordance with human subjective perception. Unfortunately, existing …
quality of images in accordance with human subjective perception. Unfortunately, existing …
Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Though many attempts have been made in blind super-resolution to restore low-resolution
images with unknown and complex degradations, they are still far from addressing general …
images with unknown and complex degradations, they are still far from addressing general …
Underwater camera: Improving visual perception via adaptive dark pixel prior and color correction
We present a novel method for underwater image restoration, which combines a
Comprehensive Imaging Formation Model with prior knowledge and unsupervised …
Comprehensive Imaging Formation Model with prior knowledge and unsupervised …