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Journal of engineering science and technology review, ISSN 1791-9320, 2015, Volume 8, Issue 5, pp. 41 - 48
Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 2006, Volume 6064, pp. 354 - 365
We present a novel approach to still image denoising based on effective filtering in 3D transform domain by combining sliding-window transform processing with... 
Block-matching | 3D transforms | Image denoising
Conference Proceeding
International journal of computer vision, ISSN 0920-5691, 2/2008, Volume 76, Issue 2, pp. 123 - 139
Neighborhood filters are nonlocal image and movie filters which reduce the noise by averaging similar pixels. The first object of the paper is to present a... 
Pattern Recognition | Motion estimation | Computer Science | Image Processing and Computer Vision | Computer Imaging, Vision, Pattern Recognition and Graphics | Artificial Intelligence (incl. Robotics) | Movie denoising | Image denoising | Studies | Fourier analysis | Neighborhoods | Noise | Methods | Image Processing
Journal Article
IEEE transactions on image processing, ISSN 1941-0042, 09/2019, Volume 28, Issue 9, pp. 4247 - 4259
Journal Article
ACM transactions on graphics, ISSN 0730-0301, 07/2009, Volume 28, Issue 3, pp. 1 - 12
We propose a method for accelerating a broad class of non-linear filters that includes the bilateral, non-local means, and other related filters. These filters... 
denoising | non-local means | geometry filtering | bilateral filter | Geometry filtering | Non-local means | Bilateral filter | Denoising
Journal Article
Image processing on line, ISSN 2105-1232, 2017, Volume 7, pp. 288 - 308
Journal Article
ACM transactions on graphics, ISSN 0730-0301, 07/2013, Volume 32, Issue 4
Journal Article
Journal Article
Journal of machine learning research, ISSN 1532-4435, 01/2015, Volume 15, pp. 3563 - 3593
Journal Article
IEEE signal processing letters, ISSN 1070-9908, 12/2005, Volume 12, Issue 12, pp. 839 - 842
Journal Article
ACM transactions on graphics, ISSN 0730-0301, 07/2017, Volume 36, Issue 4, pp. 1 - 14
Regression-based algorithms have shown to be good at denoising Monte Carlo (MC) renderings by leveraging its inexpensive by-products (e.g., feature buffers).... 
Monte Carlo denoising | Monte Carlo rendering | global illumination | Global illumination
Journal Article
Journal of machine learning research, ISSN 1532-4435, 04/2018, Volume 18, pp. 1 - 36
The fused lasso, also known as (anisotropic) total variation denoising, is widely used for piecewise constant signal estimation with respect to a given... 
Total variation denoising | Fused lasso | Graph denoising | Depth-first search | Automation & Control Systems | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
Journal Article
IEEE transactions on information theory, ISSN 0018-9448, 2014, Volume 60, Issue 8, pp. 5040 - 5053
Journal Article
IEEE transactions on medical imaging, ISSN 0278-0062, 04/2008, Volume 27, Issue 4, pp. 425 - 441
Journal Article
NeuroImage (Orlando, Fla.), ISSN 1053-8119, 09/2014, Volume 98, pp. 487 - 505
Journal Article
IEEE journal of selected topics in signal processing, ISSN 1932-4553, 12/2007, Volume 1, Issue 4, pp. 606 - 617
Recently, a lot of attention has been paid to regularization based methods for sparse signal reconstruction (e.g., basis pursuit denoising and compressed... 
Convex optimization | regularization | Basis pursuit denoising | Least squares | Preconditioned conjugate gradients | Interior-point methods | Compressive sampling | Compressed sensing | Studies | Methods | Algorithms
Journal Article
WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining, 02/2016, pp. 153 - 162
Conference Proceeding
The Annals of statistics, ISSN 0090-5364, 2018, Volume 46, Issue 6B, pp. 3217 - 3245
Journal Article
Healthcare technology letters, ISSN 2053-3713, 02/2017, Volume 4, Issue 1, pp. 25 - 29
Variational mode decomposition (VMD) is a new adaptive multi-resolution technique suitable for signal denoising purpose. The main focus of this work has been... 
signal denoising | variational mode decomposition | empirical mode decomposition | image denoising techniques | variational techniques | biomedical images | adaptive multiresolution domains | VMD | image denoising | medical image processing
Journal Article
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