Image super-resolution: A comprehensive review, recent trends ...
网页2023年3月1日 · Super resolution (SR) is an eminent system in the field of computer vison and image processing to improve the visual perception of the poor-quality images.
Super Resolution - DeepAI
网页The Super Resolution API uses machine learning to clarify, sharpen, and upscale the photo without losing its content and defining characteristics. Blurry images are unfortunately common and are a problem for professionals and hobbyists alike.
Seeing beyond the limit: A guide to choosing the right super-resolution ...
网页2021年5月18日 · Choosing the right super-resolution technique to answer a given biological question is vital for understanding and interpreting biological relevance. This is an often-neglected and complex task that should take into account well-defined criteria (e.g., sample type, structure size, imaging requirements).
Super-resolution imaging - Wikipedia
网页Super-resolution imaging (SR) is a class of techniques that enhance (increase) the resolution of an imaging system. In optical SR the diffraction limit of systems is transcended, while in geometrical SR the resolution of digital imaging sensors is enhanced.
Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution ...
网页2024年4月29日 · What Is Super-Resolution? Usual Problems with Low-Resolution Imagery. Traditional Computer Vision Algorithms for Super-Resolution. Nearest-Neighbor Interpolation: Efficient and Simple Image Enhancement. Bilinear Interpolation: Precise Pixel Estimation for Enhanced Imagery. Bicubic Interpolation: Advanced Grid-Based …
Superoscillation: from physics to optical applications
网页2019年6月12日 · Superresolution imaging techniques, which are noncontact, far field and label free, are highly desirable but challenging to implement. The concept of superoscillation offers an alternative...
Image Super-Resolution: A Comprehensive Review - DigitalOcean
网页2024年9月13日 · Image Super Resolution refers to the task of enhancing the resolution of an image from low-resolution (LR) to high (HR). It is popularly used in the following applications: Surveillance: to detect, identify, and perform facial recognition on low-resolution images obtained from security cameras.
Image super-resolution: A comprehensive review, recent trends ...
网页2023年3月1日 · Super resolution (SR) is an eminent system in the field of computer vison and image processing to improve the visual perception of the poor-quality images.
Single image super-resolution: a comprehensive review and …
网页2023年9月4日 · Super-resolution (SR) is a long-standing problem in image processing and computer vision and has attracted great attention from researchers over the decades. The main concept of SR is to reconstruct images from …
Deep Learning for Image Super-Resolution: A Survey
网页2020年3月23日 · This article aims to provide a comprehensive survey on recent advances of image super-resolution using deep learning approaches. In general, we can roughly group the existing studies of SR techniques into three major categories: supervised SR, unsupervised SR, and domain-specific SR.
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