Single Image Super-Resolution Methods: A Survey
Super-resolution (SR), the process of obtaining high-resolution images from one or more low-resolution observations of the same scene, has been a very popular topic of research in the last few decades in both signal processing and image processing areas. Due to the recent developments in Convolutional Neural Networks, the popularity of SR algorithms has skyrocketed as the barrier of entry has been lowered significantly. Recently, this popularity has spread into video processing areas to the lengths of developing SR models that work in real-time. In this paper, we compare different SR models that specialize in single image processing and will take a glance at how they evolved to take on many different objectives and shapes over the years.
Code (0)
등록된 구현이 없습니다.
Tasks
Image Super-ResolutionSuper-ResolutionSurveySimilar Papers 제목 키워드 기반
A Comprehensive Review of Deep Learning-based Single Image Super-resolution
Image super-resolution (SR) is one of the vital image processing methods that improve the resolution of an image in the field of computer vision. In the last two decades, significant progress has been made in the field o…
Deep LearningImage Super-ResolutionSuper-ResolutionSurveyA Systematic Survey of Deep Learning-based Single-Image Super-Resolution
Single-image super-resolution (SISR) is an important task in image processing, which aims to enhance the resolution of imaging systems. Recently, SISR has made a huge leap and has achieved promising results with the help…
Deep LearningImage Quality AssessmentImage Super-ResolutionSuper-Resolution+1Deep Learning Empowered Super-Resolution: A Comprehensive Survey and Future Prospects
Super-resolution (SR) has garnered significant attention within the computer vision community, driven by advances in deep learning (DL) techniques and the growing demand for high-quality visual applications. With the exp…
Image Super-ResolutionVideo Super-ResolutionDeep Learning for Image Super-resolution: A Survey
Image Super-Resolution (SR) is an important class of image processing techniques to enhance the resolution of images and videos in computer vision. Recent years have witnessed remarkable progress of image super-resolutio…
Deep LearningImage Super-ResolutionSuper-ResolutionSurveyGuided Depth Map Super-resolution: A Survey
Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution (HR) depth map from a low-resolution (LR) observation with the help of a paired HR color image, is a longstanding and fundamental prob…
Depth Image UpsamplingDepth Map Super-ResolutionImage Quality AssessmentSuper-Resolution+1