Amanote Research

Amanote Research

    RegisterSign In

Superresolution With Optically Motivated Blind Deconvolution

doi 10.1364/3d.2016.jt3a.38
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2016

Authors
Ferréol SoulezMichael Unser
Publisher

OSA


Related search

Sparse Bayesian Blind Image Deconvolution With Parameter Estimation

Eurasip Journal on Image and Video Processing
Electronic EngineeringSignal ProcessingInformation SystemsElectrical
2012English

Universal Criteria for Blind Deconvolution

1990English

Real-Time, Multiframe, Blind Deconvolution of Solar Images

Astronomy and Astrophysics
AstrophysicsAstronomyPlanetary ScienceSpace
2018English

Parametric Approach to Blind Deconvolution of Nonlinear Channels

Neurocomputing
Computer Science ApplicationsArtificial IntelligenceCognitive Neuroscience
2002English

Blind Multiuser Deconvolution in Fading and Dispersive Channels

English

Shift-Variant Blind Deconvolution Using a Field of Kernels

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2017English

Blind Multi-Frame Deconvolution by Tangential Iterative Projections (TIP)

Optics Express
OpticsAtomicMolecular Physics,
2017English

Blind Deconvolution With Principal Components Analysis for Wide-Field and Small-Aperture Telescopes

Monthly Notices of the Royal Astronomical Society
AstrophysicsAstronomyPlanetary ScienceSpace
2017English

Learning Fully Convolutional Networks for Iterative Non-Blind Deconvolution

2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy