Results 51 to 60 of about 216,992 (320)

Simultaneous super-resolution and blind deconvolution

open access: yesJournal of Physics: Conference Series, 2008
In many real applications, blur in input low-resolution images is a nuisance, which prevents traditional super-resolution methods from working correctly. This paper presents a unifying approach to the blind deconvolution and superresolution problem of multiple degraded low-resolution frames of the original scene.
Sroubek, F.   +2 more
openaire   +2 more sources

A first order phase transition mechanism underlies protein aggregation in mammalian cells [PDF]

open access: yes, 2019
The formation of misfolded protein aggregates is a hallmark of neurodegenerative diseases. The aggregate formation process exhibits an initial lag phase when precursor clusters spontaneously assemble.
Abraham   +67 more
core   +2 more sources

A Progressive Decoupled Network for Blind Image Super-Resolution

open access: yesIEEE Access
Blind super-resolution (Blind SR) has become a popular research topic in computer vision in super-resolution, which aims to enhance low-resolution (LR) images with unknown or partially known degradation blur kernels.
Laigan Luo, Benshun Yi, Chao Zhu
doaj   +1 more source

Boosting Degradation Representation Learning for Blind Image Super-Resolution [PDF]

open access: yesJisuanji kexue yu tansuo
In most convolutional neural networks-based super-resolution (SR) methods, the degradation assumptions are fixed and known (e.g., bicubic degradation). When applying them to real-world degraded images, the mismatch between the actual degradation and the ...
YUAN Jiang, MA Ji, ZHOU Dengwen
doaj   +1 more source

Light field super resolution through controlled micro-shifts of light field sensor [PDF]

open access: yes, 2018
Light field cameras enable new capabilities, such as post-capture refocusing and aperture control, through capturing directional and spatial distribution of light rays in space.
Gunturk, Bahadir K., Mukati, M. Umair
core   +2 more sources

Multiple Frame Splicing and Degradation Learning for Hyperspectral Imagery Super-Resolution

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Hyperspectral imagery (HSI) is an emerging remote sensing technology to discriminate different remote sensing objects. However, the HSI spatial resolution is relatively low due to the trade-off in restricted physical hardware and various imaging ...
Chenwei Deng, Xingshi Luo, Wenzheng Wang
doaj   +1 more source

Gradient Scan Gibbs Sampler: an efficient algorithm for high-dimensional Gaussian distributions

open access: yes, 2015
This paper deals with Gibbs samplers that include high dimensional conditional Gaussian distributions. It proposes an efficient algorithm that avoids the high dimensional Gaussian sampling and relies on a random excursion along a small set of directions.
Féron, Olivier   +2 more
core   +3 more sources

A sub-Nyquist co-prime sampling music spectral approach for natural frequency identification of white-noise excited structures [PDF]

open access: yes, 2018
Motivated by practical needs to reduce data transmission payloads in wireless sensors for vibration-based monitoring of civil engineering structures, this paper proposes a novel approach for identifying resonant frequencies of white-noise excited ...
Giaralis, A., Gkoktsi, K.
core   +1 more source

X-ray image separation via coupled dictionary learning [PDF]

open access: yes, 2016
In support of art investigation, we propose a new source sepa- ration method that unmixes a single X-ray scan acquired from double-sided paintings. Unlike prior source separation meth- ods, which are based on statistical or structural incoherence of the ...
Cornelis, Bruno   +4 more
core   +2 more sources

SBHSR: single-band super-resolution method for hyperspectral images based on blind degradation and fusion of auxiliary band

open access: yesGeocarto International
Despite natural image super-resolution (SR) methods have achieved great success, super-resolution methods for hyperspectral image (HSI) with rich spectral features are still a very challenging task.
Lijing Bu   +3 more
doaj   +1 more source

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