Results 51 to 60 of about 3,010,100 (313)
Space-time super-resolution [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005 We propose a method for constructing a video sequence of high space-time resolution by combining information from multiple low-resolution video sequences of the same dynamic scene. Super-resolution is performed simultaneously in time and in space. By "temporal super-resolution," we mean recovering rapid dynamic events that occur faster than regular ...
Eli Shechtman, Yaron Caspi, Michal Irani
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Quantization for Spectral Super-Resolution
Constructive Approximation, 2022 We show that the method of distributed noise-shaping beta-quantization offers superior performance for the problem of spectral super-resolution with quantization whenever there is redundancy in the number of measurements. More precisely, we define the oversampling ratio $λ$ as the largest integer such that $\lfloor M/λ\rfloor - 1\geq 4/Δ$, where $M ...
C. Sinan Güntürk, Weilin Li
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SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Accurately and timely detecting multiscale small objects that contain tens of pixels from remote sensing images (RSI) remains challenging. Most of the existing solutions primarily design complex deep neural networks to learn strong feature ...
Jiaqi Zhang +5 more
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SUPER-RESOLUTION OF MULTISPECTRAL IMAGES [PDF]
Modelling and Simulation in Science, 2007 In this paper we propose and analyze a globally and locally adaptive super-resolution Bayesian methodology for pansharpening of multispectral images. The methodology incorporates prior knowledge on the expected characteristics of the multispectral images uses the sensor characteristics to model the observation process of both panchromatic and ...
Miguel Vega +3 more
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Super-resolution reconstruction of rock CT images based on Real-ESRGAN
Gong-kuang zidonghua, 2023 Due to factors such as image acquisition equipment and geological environment, rock CT images have low resolution and unclear details. However, existing image super-resolution reconstruction methods are prone to losing details when characterizing high ...
LI Gang +6 more
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Optimizing and Learning for Super-resolution [PDF]
Procedings of the British Machine Vision Conference 2006, 2006 In multiple-image super-resolution, a high resolution image is estimated from a number of lower-resolution images. This involves computing the parameters of a generative imaging model (such as geometric and photometric registration, and blur) and obtaining a MAP estimate by minimizing a cost function including an appropriate prior.
Pickup, LC, Roberts, SJ, Zisserman, A
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eLifeCargo traffic through the Golgi apparatus is mediated by cisternal maturation, but it remains largely unclear how the cis-cisternae, the earliest Golgi sub-compartment, is generated and how the Golgi matures into the trans-Golgi network (TGN).
Takuro Tojima +4 more
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Reference Based Face Super-Resolution
IEEE Access, 2019 Despite the great progress of image super-resolution in recent years, face super-resolution has still much room to explore good visual quality while preserving original facial attributes for larger up-scaling factors.
Zhi-Song Liu, Wan-Chi Siu, Yui-Lam Chan
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The ‘super-resolution’ revolution [PDF]
Biochemical Society Transactions, 2009 We are currently in the midst of an exciting revolution in microscopy. In many ways, this has been happening for several decades, but it is the rate of development of new methods that has increased recently. The last few years have seen an impressive proliferation of new instruments for imaging at higher resolution, imaging single molecules and faster ...
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Atomic Super-Resolution Tomography [PDF]
, 2020 16 pages, 5 ...
Poulami Somanya Ganguly +3 more
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