Multiscale image denoising using goodness-of-fit test based on EDF statistics.

Autor: Khuram Naveed, Bisma Shaukat, Shoaib Ehsan, Klaus D Mcdonald-Maier, Naveed Ur Rehman

Publikováno v: PLoS ONE, Vol 14, Iss 5, p e0216197 (2019)

Two novel image denoising algorithms are proposed which employ goodness of fit (GoF) test at multiple image scales. Proposed methods operate by employing the GoF tests locally on the wavelet coefficients of a noisy image obtained via discrete wavelet

Externí odkaz: https://doaj.org/article/dd2429a49b2a4d0f95d703fad279d76a

Dual tree complex wavelet transform-based signal denoising method exploiting neighbourhood dependencies and goodness-of-fit test

Autor: Naveed ur Rehman, Khuram Naveed, Bisma Shaukat

Publikováno v: Royal Society Open Science
Naveed, K, Shaukat, B & Rehman, N U 2018, ' Dual tree complex wavelet transform-based signal denoising method exploiting neighbourhood dependencies and goodness-of-fit test ', Royal Society Open Science, bind 5, nr. 9, s. 180436 . https://doi.org/10.1098/rsos.180436
Royal Society Open Science, Vol 5, Iss 9 (2018)

A novel signal denoising method is proposed whereby goodness-of-fit (GOF) test in combination with a majority classifications-based neighbourhood filtering is employed on complex wavelet coefficients obtained by applying dual tree complex wavelet tra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3e90f79058cdbcb10b5319dabdf5788
http://europepmc.org/articles/PMC6170581