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Process of removing blurring artifacts from images
Deblurring is the process of removing blurring artifacts from images. Deblurring recovers a sharp image S from a blurred image B, where S is convolved
Deblurring
Algorithm for noise reduction in images
The BM3D algorithm has been extended (IDD-BM3D) to perform decoupled deblurring and denoising using the Nash equilibrium balance of the two objective
Block-matching and 3D filtering
Block-matching_and_3D_filtering
Set of digital image capture and processing techniques
applications include image-based relighting, image enhancement, image deblurring, geometry/material recovery and so forth. High-dynamic-range imaging uses
Computational_photography
Any technique to improve resolution of an imaging system beyond conventional limits
Super-resolution imaging (SRI) is a class of techniques to improve the resolution of an imaging system, thus achieving "super resolution" (SR). In optical
Super-resolution_imaging
Chinese computer scientist
Mathematical Models and Practical Solvers for Uniform Motion Deblurring (in Motion Deblurring: Algorithms and Systems), Cambridge University Press, ISBN
Jiaya_Jia
Topics referred to by the same term
blurring of an image due to movement of the subject or imaging system Deblurring, process of removing blurring artifacts from images Fogging (censorship)
Blur
Type of filter
From left: Original image, blurred image, image deblurred using Wiener deconvolution.
Wiener_deconvolution
Video side effect where image is hyperreal
video game and computer graphics), edge enhancement, video denoising, deblurring, color grading, and 2D to 3D conversion. In some cases, such as that of
Soap_opera_effect
Type of random mathematical object
1992. M. Bertero, P. Boccacci, G. Desidera, and G. Vicidomini. Image deblurring with poisson data: from cells to galaxies. Inverse Problems, 25(12):123006
Poisson_point_process
System used in computer graphics applications
various image restoration inverse problems such as noise reduction and deblurring in both still images and digital video. Motion estimation is the process
Block-matching_algorithm
technique that aims to perform high quality image restoration (denoising and deblurring) using low computational overhead. The restored image x {\displaystyle
Shrinkage Fields (image restoration)
Shrinkage_Fields_(image_restoration)
Techniques used to reduce blurring of images
movements lag the head movements by less than 10 ms. Adaptive optics Deblurring Heligimbal Hyperlapse Motion compensation Shaky camera This rule was invented
Image_stabilization
Spectral regularization can be used in a broad range of applications, from deblurring images to classifying emails into a spam folder and a non-spam folder
Regularization by spectral filtering
Regularization_by_spectral_filtering
Photography with a digital camera
Ramesh; Amit Agrawal; Jack Tumblin. "Coded Exposure Photography: Motion Deblurring using Fluttered Shutter". Archived from the original on 2007-04-29. Retrieved
Digital_photography
Reconstruction of a filtered signal
deconvolution Digital room correction Free deconvolution Point spread function Deblurring Unsharp masking O'Haver, T. "Intro to Signal Processing - Deconvolution"
Deconvolution
American facial recognition software company
statistical patterns found in other images. Clearview acknowledged that deblurring an image and/or removing a mask could potentially make errors more frequent
Clearview_AI
South Korean computer scientist
In 2017, Lee introduced the GOPRO dataset, a benchmark for non-uniform deblurring collected using high-speed cameras to provide realistic motion blur pairs
Kyoung_Mu_Lee
Greek-American computer scientist (born 1934)
18 July 2003. Retrieved 2016-05-12. Joseph, E.; Pavlidis, T. (1993). "Deblurring of bilevel waveforms". IEEE Transactions on Image Processing. 2 (2): 223–35
Theodosios_Pavlidis
Measuring technique
depth information) in the captured image, two approaches can be used: 1) deblurring the captured image with different blurs, or 2) learning some linear filters
Range_imaging
Argentine-American mathematician
dissertation, Multilevel Methods for Discrete Ill-Posed Problems: Application to Deblurring, was supervised by Misha Kilmer. After postdoctoral research with Michael
Malena_Español
Algerian systems scientist (born 1953)
Maamar (February 2013). "ABC optimized neural network model for image deblurring with its FPGA implementation". Microprocessors and Microsystems. 37 (1):
Maamar_Bettayeb
Process of removing noise from a signal
subtraction Digital image processing Total variation denoising Video denoising Deblurring Chen, Yangkang; Fomel, Sergey (November–December 2015). "Random noise
Noise_reduction
social-based opportunistic networks 2018 Jiaya Jia For contributions to deblurring techniques in computational photography 2018 Roberta Klatzky For contributions
List of fellows of IEEE Computer Society
List_of_fellows_of_IEEE_Computer_Society
attempt to eliminate implausible solutions. This problem is analogous to deblurring in the image processing domain. Adaptive filtering remains the core of
Echo_removal
E=L^{2}(\Omega )} and L u = u {\displaystyle Lu=u} , image denoising and deblurring with E = L 2 ( Ω ) {\displaystyle E=L^{2}(\Omega )} and L u = ϕ ∗ u {\displaystyle
Topological_derivative
Iterative optimization algorithm
. The Bregman method or its generalizations can be applied to: Image deblurring or denoising (including total variation denoising) MR image[clarification
Bregman_method
Indirectly forming images from measurements using algorithms
imaging, panoramic stitching, light-field photography, depth estimation, deblurring, denoising, and multi-frame fusion. These methods often use multiple images
Computational_imaging
American computer scientist
outdoor photos by combining them with existing digital terrain data; image deblurring (2010), to deblur images captured with camera shake; GradientShop (2010)
Michael_F._Cohen
Image reconstruction algorithms
E.; Snyder, D.L.; O'Sullivan, J.A.; Vannier, M.W. (1996). "Iterative deblurring for CT metal artifact reduction". IEEE Transactions on Medical Imaging
Iterative_reconstruction
Electrical engineering problem
imposed for many cases of practical use. For example, in the case of image deblurring, the blur kernel can be assumed to have a positive impulse response over
Multidimensional signal restoration
Multidimensional_signal_restoration
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