A new hybrid denoising model based on PDEs
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4858-8
Abstract: In this paper, a novel denoising algorithm based on the denoising methods of partial differential equations is presented. The proposed algorithm is obtained by using a stochastic algorithm for combining two denoising methods based on… read more here.
Keywords: image; denoising methods; new hybrid; hybrid denoising ... See more keywords
Deep Image Denoising With Adaptive Priors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3149518
Abstract: Image denoising methods using deep neural networks have achieved a great progress in the image restoration. However, the recovered images restored by these deep denoising methods usually suffer from severe over-smoothness, artifacts, and detail loss.… read more here.
Keywords: apd nets; denoising methods; image denoising; adaptive priors ... See more keywords
Speckle denoising by variant nonlocal means methods.
Sign Up to like & getrecommendations! Published in 2019 at "Applied optics"
DOI: 10.1364/ao.58.007110
Abstract: This study aims to demonstrate the performances of nonlocal means (NLM) and their variant denoising methods, mainly focusing on NLM-shaped adaptive patches and several NLM-reprojection schemes for speckle noise reduction in amplitude and phase images… read more here.
Keywords: denoising methods; speckle denoising; nonlocal means; imaging systems ... See more keywords
The risk of bias in denoising methods: Examples from neuroimaging
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0270895
Abstract: Experimental datasets are growing rapidly in size, scope, and detail, but the value of these datasets is limited by unwanted measurement noise. It is therefore tempting to apply analysis techniques that attempt to reduce noise… read more here.
Keywords: risk bias; denoising methods; methods examples; bias denoising ... See more keywords