Results 31 to 40 of about 1,684,691 (312)
Guided filter-based multi-scale super-resolution reconstruction
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
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MultiDimensional Sparse Super-Resolution [PDF]
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
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Super-resolution reconstruction of rock CT images based on Real-ESRGAN
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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Role of Atg8 in the regulation of vacuolar membrane invagination
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
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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
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The ‘super-resolution’ revolution [PDF]
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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Space-time super-resolution [PDF]
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
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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SUPER-RESOLUTION OF MULTISPECTRAL IMAGES [PDF]
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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Optimizing and Learning for Super-resolution [PDF]
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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