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- ...is based on the [[Geometric mean|mathematic geometric mean]]. The output image G(x,y) of a geometric mean is given by Where S(x,y) is the original image, and the filter mask is m by n pixels. ...3 KB (415 words) - 02:17, 8 October 2021
- ...[[Noise reduction]], '''local pixel grouping''' is the algorithm to remove noise from images using [[principal component analysis]] (PCA). ==Image denoising== ...5 KB (746 words) - 01:04, 9 December 2023
- ...ming only from valid pixels, thus avoiding to affect other features of the image.<ref name="mcdonnell1981box">{{Harvsp|MJ McDonnell|1981|pp=65–70|ref=mcdonn * based on image intensity, by defining an interval <math>[I_{min}, I_{max}]</math> of inval ...3 KB (396 words) - 03:02, 16 November 2020
- {{Short description|Image denoising algorithm}} ...t|400px|Application of non-local means to an image corrupted by [[Gaussian noise]]]] ...7 KB (1,111 words) - 03:52, 24 January 2025
- {{short description|Algorithm for noise reduction in images}} ...elets + non-local denoise.jpg|thumb|upright=2|Left: original crop from raw image taken at ISO800, Middle: Denoised using bm3d-gpu (sigma=10, twostep), Right ...6 KB (847 words) - 06:33, 17 October 2023
- {{Short description|Edge-preserving smoothing image filter}} ...0170323172320/http://www.jiansun.org/papers/GuidedFilter_ECCV10.pdf Guided Image Filtering]</ref> ...7 KB (1,131 words) - 14:35, 18 November 2024
- ...ims to perform high quality [[Image restoration by artificial intelligence|image restoration]] ([[denoising]] and [[deblurring]]) using low computational ov The restored image <math>x</math> is predicted from a corrupted observation <math>y</math> aft ...5 KB (742 words) - 02:21, 11 September 2024
- ...he [[spike-triggered average]] to characterize neural responses with white-noise stimuli. [[Image:LNPModelDiagram.png|right|thumb|300px|The Linear-Nonlinear-Poisson Cascade ...6 KB (910 words) - 23:33, 14 June 2020
- {{Short description|Noise removal process during image processing}} .../> total variation denoising technique to an image corrupted by [[Gaussian noise]]. This example created using demo_tv.m by Guy Gilboa, see external links.] ...9 KB (1,379 words) - 21:53, 5 October 2024
- {{Short description|Image noise reducing technique}} ...n is a ''non-linear'' and ''space-variant'' transformation of the original image. ...12 KB (1,779 words) - 20:52, 28 December 2023
- [[File:Angio fire2.jpg|thumb|Kinetic image or DVA (digital variance angiography) of a patient's leg, obtained from pre ...ing. Because of the reduced noise and the motion-based [[Contrast (vision)|image contrast]], kinetic imaging can be used to reduce X-ray dose and/or amount ...19 KB (2,798 words) - 17:38, 2 February 2025
- ...irst4=Patrick |last5=Ommer |first5=Björn |date=2022 |title=High-Resolution Image Synthesis With Latent Diffusion Models |conference=The IEEE/CVF Conference ...bjective of removing successive applications of noise (commonly [[Gaussian noise|Gaussian]]) on training images. The LDM is an improvement on standard DM by ...19 KB (2,682 words) - 07:45, 11 February 2025
- ...[rigid motion]] from the background and analyze it. [[Image segmentation]] techniques labels the pixels to be a part of [[pixels]] with certain characteristics a ...the algorithm it can be broadly classified into the following categories: image difference, statistical methods, wavelets, layering, optical flow and facto ...25 KB (3,688 words) - 20:24, 30 November 2023
- [[File:Weak-Beam Dark-Field Example Image 2kx Fringes.jpg|thumb|WBDF micrograph acquired from Al-Cu-Mn-Zr alloy crept ...[[Bragg's law|Bragg's]] diffraction orientation near the defect core. The image can be further enhanced by tilting the crystal in different directions, whi ...23 KB (3,524 words) - 17:10, 17 October 2023
- {{Short description|Dimensionality reduction algorithm}} ...ence]], '''dynamic mode decomposition''' ('''DMD''') is a [[dimensionality reduction]] algorithm developed by Peter J. Schmid and Joern Sesterhenn in 2008.<ref ...24 KB (3,611 words) - 03:24, 21 December 2024
- ...aper-homodyne-and-heterodyne-interferometry--5653 |title=Optical detection techniques: homodyne versus heterodyne |date=2002 |access-date=15 February 2017 |archi ...hat can be electronically isolated and distributed spatially to present an image of the scene.<ref name="SAHD">{{cite journal |doi=10.1364/OL.19.001609 |pmi ...28 KB (4,015 words) - 05:53, 1 February 2025
- [[Image:SLED LD.svg|thumb|a) Facet feedback and wavelength resonances in the optica [[Image:Optical power versus injected current for a SLED.svg|thumb|Typical dependen ...23 KB (3,478 words) - 18:29, 18 December 2024
- ...overcomplete dictionaries have immense applications in image compression, image fusion, and [[inpainting]]. [[File:Dic_learning.jpg|thumb|Image Denoising by Dictionary Learning]] ...23 KB (3,435 words) - 11:30, 29 January 2025
- {{Short description|Type of image noise}} ...t7=A.M.|year=2006|title=Quality assessment of speckle patterns for digital image correlation|url=http://orbi.ulg.ac.be/handle/2268/15779|journal=Optics and ...38 KB (5,513 words) - 16:54, 15 December 2024
- ...<math> 2\pi </math> which can lead to solutions that degrade the signal-to-noise ratio. ...ry. For this method, the reference pulse is obtained by sending its mirror image through a sinusoidal phase modulation. Hence, a spectral shift of magnitude ...18 KB (2,568 words) - 02:00, 15 December 2023