Results 31 to 40 of about 1,684,691 (312)

Guided filter-based multi-scale super-resolution reconstruction

open access: yesCAAI Transactions on Intelligence Technology, 2020
The learning-based super-resolution reconstruction method inputs a low-resolution image into a network, and learns a non-linear mapping relationship between low-resolution and high-resolution through the network.
Xiaomei Feng   +3 more
doaj   +1 more source

MultiDimensional Sparse Super-Resolution [PDF]

open access: yesSIAM Journal on Mathematical Analysis, 2019
The authors consider the computation of the positions and amplitudes of pointwise sources from linear measurements affected by additive noise. A regularized version of this problem is obtained by a minimization problem where the total variation of the solution is used as regularization term.
Poon, Clarice, Peyré, Gabriel
openaire   +1 more source

Super-resolution reconstruction of rock CT images based on Real-ESRGAN

open access: yesGong-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
doaj   +1 more source

Role of Atg8 in the regulation of vacuolar membrane invagination

open access: yesScientific Reports, 2019
Cellular heat stress can cause damage, and significant changes, to a variety of cellular structures. When exposed to chronically high temperatures, yeast cells invaginate vacuolar membranes.
Ayane Ishii   +7 more
doaj   +1 more source

Multi-scale change monitoring of water environment using cloud computing in optimal resolution remote sensing images

open access: yesEnergy Reports, 2022
Water is the source of life and a very important part of life. However, the current water resources security is facing global challenges. Affected by climate change and human factors, how to quickly realize the continuous monitoring of water resources ...
Lei Feng   +5 more
doaj   +1 more source

The ‘super-resolution’ revolution [PDF]

open access: yesBiochemical 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 ...
openaire   +2 more sources

Space-time super-resolution [PDF]

open access: yesIEEE 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
openaire   +2 more sources

Quantization for Spectral Super-Resolution

open access: yesConstructive 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
openaire   +3 more sources

SUPER-RESOLUTION OF MULTISPECTRAL IMAGES [PDF]

open access: yesModelling 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
openaire   +1 more source

Optimizing and Learning for Super-resolution [PDF]

open access: yesProcedings 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
openaire   +2 more sources

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