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Results

166 874 results (0,393s) •

Result

Removing Boundary Artifacts for Real-Time Iterated Shrinkage Deconvolution

We propose a solution to the problem of boundary artifacts appearing in several recently published fast deblurring algorithms based on iterated shrinkage thresholding in a sparse domain and Fourier domain deconvolution. Our approach adapts a...

JD - Využití počítačů, robotika a její aplikace

  • 2012
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  • Jx
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  • Link
Result

High-Resolution Ultrasonic Imaging Using Fast Two-Dimensional Homomorphic Filtering

currently available hardware in real-time imaging, with rate up to 50 frames per secondA new method for two-dimensional deconvolution of medical ultrasonic images to the common images of the fundamental and second harmonic...

FS - Lékařská zařízení, přístroje a vybavení

  • 2006
    • •
  • Jx
Result

CLEAN algorithms for intra-vehicular time-domain UWB channel sounding

A comparison of two variants of CLEAN, a time-domain serial subtractive deconvolution algorithm, is presented. Appropriate statistical metrics for assessing the relative merit of the deconvolution technique are identified i...

Electrical and electronic engineering

  • 2015
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  • D
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  • Link
Result

Experimental Signal Deconvolution in Acoustic Emission Identification Setup

gives us the pure image of the real characteristics of AE source after deconvolution the basics of time reversal Acoustic Emission (AE) principle and point out the advantages focusing in nonlinearity position in the materi...

BA - Obecná matematika

  • 2011
    • •
  • O
Result

Experimental Signal Deconvolution in Acoustic Emission Identification Setup

the basics of time reversal Acoustic Emission (AE) principle and point out the advantages of acoustic source, which gives us the pure image of the real characteristics of AE source after deconvolution process applied to th...

BA - Obecná matematika

  • 2011
    • •
  • D
Result

Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods

We present spectral pre-adaptation that pre-processes blurred images so they can be restored using fast standard deconvolution algorithms suitable for simplified models....

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2022
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  • Jimp
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  • Link
Result

CNN for license plate motion deblurring

deconvolution and denoising with convolutional neural networks (CNN) in a situation where the blur kernels are partially constrained. We focus on blurred images from a real-life traffic surveillance system, on which we, for the fir...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2016
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  • D
    • •
  • Link
Result

Blind Deconvolution With Model Discrepancies

in the convolution model, and thus extends applicability of blind deconvolution to real scenariosBlind deconvolution is a strongly ill-posed problem comprising of simultaneous methodology led to methods that started to per...

Computer hardware and architecture

  • 2017
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  • Jimp
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  • Link
Result

Understanding image priors in blind deconvolution

Removing blurs from a single degraded image without any knowledge of the blur kernel is an ill-posed blind deconvolution problem. Proper estimators together with correct image priors play a fundamental role in accurate blind deconvolutio...

JD - Využití počítačů, robotika a její aplikace

  • 2014
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  • D
Result

A smartphone application for removing handshake blur and compensating rolling shutter

We present a smartphone application for removing motion blur from photos using gyroscope data. The proposed deblurring application is implemented on Android smartphones with close-to-real-time performance....

JD - Využití počítačů, robotika a její aplikace

  • 2014
    • •
  • D
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