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ACM Transactions on Graphics, ISSN 0730-0301, 2009, Volume 28, Issue 5, pp. 145 - 145
Journal Article
Optics Express, ISSN 1094-4087, 05/2015, Volume 23, Issue 10, pp. 13423 - 13442
Computed tomography (CT) for inspecting high-speed rotation objects (HRO) is difficult. Images reconstructed directly by conventional reconstruction algorithms... 
IMAGE-RESTORATION | OPTICS
Journal Article
Geophysics, ISSN 0016-8033, 2013, Volume 78, Issue 2, pp. V43 - V51
The spectral decomposition technique plays an important role in reservoir characterization, for which the time-frequency distribution method is essential. The... 
GEOCHEMISTRY & GEOPHYSICS | IMAGE-RESTORATION
Journal Article
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 2808 - 2817
Model-based optimization methods and discriminative learning methods have been the two dominant strategies for solving various inverse problems in low-level... 
Learning systems | Inverse problems | Image restoration | Noise reduction | Optimization methods
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 2790 - 2798
Recently, Convolutional Neural Network (CNN) based models have achieved great success in Single Image Super-Resolution (SISR). Owing to the strength of deep... 
Training | Convolutional codes | Image resolution | Convolution | Computational modeling | Neural networks | Image restoration
Conference Proceeding
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 1628 - 1636
We present a simple and effective blind image deblurring method based on the dark channel prior. Our work is inspired by the interesting observation that the... 
Convolution | Image edge detection | Estimation | Image restoration | Face | Kernel | Optimization
Conference Proceeding
Pattern Recognition, ISSN 0031-3203, 08/2011, Volume 44, Issue 8, pp. 1708 - 1720
In this paper, we study the restoration of images corrupted by Gaussian plus impulse noise, and propose a l l minimization approach where the l term is used... 
Gaussian noise | Impulse noise | Image restoration | Dictionary learning
Journal Article
Journal of Scientific Computing, ISSN 0885-7474, 02/2013, Volume 54, Issue 2-3, pp. 350 - 368
Journal Article
Journal of Visual Communication and Image Representation, ISSN 1047-3203, 11/2019, p. 102704
Journal Article
Optics Letters, ISSN 0146-9592, 2009, Volume 34, Issue 22, pp. 3487 - 3489
High-resolution optical systems require a very accurate control of the optical paths. For the measurement of aberrations on extended objects, several iterative... 
IMAGE-RESTORATION | OPTICS
Journal Article
ACM Transactions on Graphics (TOG), ISSN 0730-0301, 12/2009, Volume 28, Issue 5, pp. 1 - 8
This paper presents a fast deblurring method that produces a deblurring result from a single image of moderate size in a few seconds. We accelerate both latent... 
image restoration | motion blur | deblurring | COMPUTER SCIENCE, SOFTWARE ENGINEERING | Kernels | Deconvolution | Images | Mathematical models | Computational efficiency | Derivatives | Pixels | Convergence
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2019, Volume 28, Issue 12, pp. 6198 - 6210
Regularization methods are used widely in image selective smoothing and edge preserving restoration of noisy images. Traditional methods utilize image... 
anisotropic diffusion | variable exponent | Image restoration | structure tensor
Journal Article
ACM Transactions on Graphics, ISSN 0730-0301, 08/2008, Volume 27, Issue 3, p. 1
In this paper we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on this estimation, the... 
Image dehazing/defogging | Image restoration | Computational photography | Image enhancement | Markov random field image modeling | COMPUTER SCIENCE, SOFTWARE ENGINEERING | computational photography | image enhancement | image restoration | image dehazing/defogging | SCATTERING
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 11/2015, Volume 24, Issue 11, pp. 3522 - 3533
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 2012, Volume 21, Issue 12, pp. 4709 - 4721
Nonsmooth nonconvex regularization has remarkable advantages for the restoration of piecewise constant images. Constrained optimization can improve the image... 
nonsmooth and nonconvex | non-Lipschitz | image restoration | Box constraints | regularization
Journal Article
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 217 - 224
In many sparse coding based image restoration and image classification problems, using non-convex I p -norm minimization (0 ≤ p <; 1) can often obtain better... 
Deconvolution | Image coding | Minimization | Encoding | Table lookup | Image restoration | Equations | Computer vision | Algorithms | Conferences | Coding | Shrinkage | Optimization | Image classification
Conference Proceeding
Image and Vision Computing, ISSN 0262-8856, 12/2019, Volume 92, p. 103815
In the field of single image defogging, there are two main methods. One is the image restoration method based on the atmospheric scattering theory which can... 
Single image defogging | Image restoration | Image enhancement | Subjective evaluation | CycleGAN
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2020, Volume 371, pp. 108 - 123
The Wasserstein distance originated from the optimal transport theory is a general and flexible statistical metric in a variety of image processing problems.... 
Wasserstein distance | Manifold | Image restoration | Image inpainting | Gaussian denoising
Journal Article
Optik, ISSN 0030-4026, 09/2019, Volume 192, p. 162925
The restoration of underwater images is challenging due to the turbid nature of water. The effects of diffraction due to the varying refractive index of water... 
Super-resolution | Diffraction | Image restoration | Turbulence removal
Journal Article
Sensors, ISSN 1424-8220, 09/2019, Volume 19, Issue 19, p. 4127
Under the dynamic working conditions of a star sensor, motion blur of the star will appear due to its energy dispersion during imaging, leading to the... 
curvature filter | image restoration | motion blur | star sensor
Journal Article
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