Abstract Super-resolution (SR), aiming to super-resolve degraded low-resolution image to
recover the corresponding high-resolution counterpart, is an important and challenging task …

We study on image super-resolution (SR), which aims to recover realistic textures from a low-
resolution (LR) image. Recent progress has been made by taking high-resolution images as …

Reference-based image super-resolution (RefSR) has shown promising success in
recovering high-frequency details by utilizing an external reference image (Ref). In this task …

Abstract The Reference-based Super-resolution (RefSR) super-resolves a low-resolution
(LR) image given an external high-resolution (HR) reference image, where the reference …

Stereo image super-resolution exploits additional features from cross view image pairs for
high resolution (HR) image reconstruction. Recently, several new methods have been …

We review the impact of deep-learning technologies on camera architecture. The function of
a camera is first to capture visual information and second to form an image. Conventionally …

Remote sensing image super-resolution (SR) plays an important role by supplementing the
lack of original high-resolution (HR) images in the study scenarios of large spatial areas or …

In this paper, we propose a novel and efficient reference feature extraction module referred
to as the Similarity Search and Extraction Network (SSEN) for reference-based super …

We present a novel approach to reference-based super-resolution (RefSR) with the focus on
dual-camera super-resolution (DCSR), which utilizes reference images for high-quality and …

In this paper, we propose a novel reference based image super-resolution approach via
Variational AutoEncoder. Existing state-of-the-art methods mainly focus on single image …