Results 21 to 30 of about 2,688,199 (290)
Blind Super-Resolution Approach for Exploiting Illumination Variety in Optical-Lattice Illumination Microscopy [PDF]
, 2021 Optical-lattice illumination patterns help in pushing high spatial frequency components of the sample into the optical transfer function of a collection microscope.
Sebastian Acuña (11303096) +23 more
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Spatiotemporal super-resolution for low bitrate H.264 video [PDF]
, 2010 Super-resolution and frame interpolation enhance low resolution low-framerate videos. Such techniques are especially important for limited bandwidth communications. This paper proposes a novel technique to up-scale videos compressed with H.264 at low bit-
Anantrasirichai, N +3 more
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Zero-Shot Blind Learning for Single-Image Super-Resolution
Information, 2023 Deep convolutional neural networks (DCNNs) have manifested significant performance gains for single-image super-resolution (SISR) in the past few years.
Kazuhiro Yamawaki, Xian-Hua Han
doaj +1 more source
Blind Image Super-Resolution: A Survey and Beyond
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Blind image super-resolution (SR), aiming to super-resolve low-resolution images with unknown degradation, has attracted increasing attention due to its significance in promoting real-world applications. Many novel and effective solutions have been proposed recently, especially with the powerful deep learning techniques.
Anran Liu +4 more
openaire +3 more sources
Blind Image Quality Assessment for Super Resolution via Optimal Feature Selection
IEEE Access, 2020 Methods for image Super Resolution (SR) have started to benefit from the development of perceptual quality predictors that are designed for super resolved images.
Juan Beron +2 more
doaj +1 more source
Opto-Electronic Advances, 2023 Structured illumination microscopy (SIM) is one of the most widely applied wide field super resolution imaging techniques with high temporal resolution and low phototoxicity.
Elizabeth Abraham +2 more
doaj +1 more source
Blind Super-Resolution With Iterative Kernel Correction [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Deep learning based methods have dominated super-resolution (SR) field due to their remarkable performance in terms of effectiveness and efficiency. Most of these methods assume that the blur kernel during downsampling is predefined/known (e.g., bicubic).
Jinjin Gu +3 more
openaire +2 more sources
Super-Resolution Microscopy: A Virus’ Eye View of the Cell [PDF]
, 2014 It is difficult to observe the molecular choreography between viruses and host cell components, as they exist on a spatial scale beyond the reach of conventional microscopy.
Grove, J, Grove, Joe, Joe Grove
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BLIND RESTORATION USING CONVOLUTION NEURAL NETWORK
Iraqi Journal of Information & Communication Technology, 2021 Image restoration is a branch of image processing that involves a mathematical deterioration and restoration model to restore an original image from a degraded image.
Meryem H. Muhson, Ayad A. Al-Ani
doaj +1 more source
Super-resolution of remotely sensed images with variable-pixel linear reconstruction [PDF]
, 2007 This paper describes the development and applications of a super-resolution method, known as Super-Resolution Variable-Pixel Linear Reconstruction. The algorithm works combining different lower resolution images in order to obtain, as a result, a higher ...
Núñez de Murga, Jorge, 1955- +1 more
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