Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Silvio Montresor

Showing results (1-10 of 17) with videos related to

Pageof 2
Sort By:
Optics Express|July 14, 2016
Quantitative appraisal for noise reduction in digital holographic phase imagingSilvio Montresor, Pascal Picart
Optics Express|September 13, 2019
Contrast transfer function of de-noising algorithmsPascal Picart, Silvio Montresor
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|February 24, 2022
Deep learning speckle de-noising algorithms for coherent metrology: a review and a phase-shifted iterative scheme [Invited]Silvio Montresor, Marie Tahon, Pascal Picart
Optics Letters|January 13, 2017
Refocus criterion based on maximization of the coherence factor in digital three-wavelength holographic interferometryPascal Picart, Silvio Montresor, Oleksandr Sakharuk, et al.
Applied Optics|December 25, 2019
Optimal processing scheme for restoration of phase data corrupted by strong decorrelation noise and dislocationsHaiting Xia, Silvio Montresor, Rongxin Guo, et al.
Applied Optics|June 10, 2024
Unsupervised speckle denoising in digital holographic interferometry based on 4-f optical simulation integrated cycle-consistent generative adversarial networkHongBo Yu, Qiang Fang, QingHe Song, et al.
Optics Express|December 14, 2016
Phase calibration unwrapping algorithm for phase data corrupted by strong decorrelation speckle noiseHaiting Xia, Silvio Montresor, Rongxin Guo, et al.
Optics Express|October 13, 2022
Speckle denoising based on deep learning via a conditional generative adversarial network in digital holographic interferometryQiang Fang, Haiting Xia, Qinghe Song, et al.
Optics Express|July 2, 2026
Phase unwrapping in digital holographic interferometry via physics-informed convolutional-Fourier neural networkQiang Fang, Haiting Xia, Silvio Montresor, et al.
Applied Optics|April 2, 2021
Influence of noise-reduction techniques in sparse-data sample rotation tomographic imagingVinoth Balasubramani, Silvio Montresor, Han-Yen Tu, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Optics Express|July 14, 2016
Quantitative appraisal for noise reduction in digital holographic phase imagingSilvio Montresor, Pascal Picart
Optics Express|September 13, 2019
Contrast transfer function of de-noising algorithmsPascal Picart, Silvio Montresor
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|February 24, 2022
Deep learning speckle de-noising algorithms for coherent metrology: a review and a phase-shifted iterative scheme [Invited]Silvio Montresor, Marie Tahon, Pascal Picart
Optics Letters|January 13, 2017
Refocus criterion based on maximization of the coherence factor in digital three-wavelength holographic interferometryPascal Picart, Silvio Montresor, Oleksandr Sakharuk, et al.
Applied Optics|December 25, 2019
Optimal processing scheme for restoration of phase data corrupted by strong decorrelation noise and dislocationsHaiting Xia, Silvio Montresor, Rongxin Guo, et al.
Applied Optics|June 10, 2024
Unsupervised speckle denoising in digital holographic interferometry based on 4-f optical simulation integrated cycle-consistent generative adversarial networkHongBo Yu, Qiang Fang, QingHe Song, et al.
Optics Express|December 14, 2016
Phase calibration unwrapping algorithm for phase data corrupted by strong decorrelation speckle noiseHaiting Xia, Silvio Montresor, Rongxin Guo, et al.
Optics Express|October 13, 2022
Speckle denoising based on deep learning via a conditional generative adversarial network in digital holographic interferometryQiang Fang, Haiting Xia, Qinghe Song, et al.
Optics Express|July 2, 2026
Phase unwrapping in digital holographic interferometry via physics-informed convolutional-Fourier neural networkQiang Fang, Haiting Xia, Silvio Montresor, et al.
Applied Optics|April 2, 2021
Influence of noise-reduction techniques in sparse-data sample rotation tomographic imagingVinoth Balasubramani, Silvio Montresor, Han-Yen Tu, et al.
Pageof 2