@InProceedings{AriasFeli:2018:ViDeQu,
author = "Arias, Rafael L. B. and Felinto, Alan Salvany",
affiliation = "{Londrina State University (UEL)} and {Londrina State University
(UEL)}",
title = "Video Denoising Quality Assessment for Different Noise
Distributions",
booktitle = "Proceedings...",
year = "2018",
editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and
Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and
Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez,
Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de
and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa,
Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus,
Klaus de and Scheer, Sergio",
organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "denoising, noise, video, quality metrics.",
abstract = "Denoising algorithms often presume a single noise model, for
instance, Gaussian noise, but it has been observed that during
acquisition, image and video sequences can be corrupted by
different types of noise, which follow a distinct probability
distribution model depending on the application. This paper aims
to compare the performance of several denoising algorithms, among
them Non-Local Means and Block-Matching 3D, and other classical
techniques such as median, Gaussian, bilateral and anisotropic
diffusion, by simulating different noise distributions in videos
and comparing the methods efficiency in multiple scenarios.
Objective evaluation uses structural similarity (SSIM) and
provides video specific assessment scores with NTIA Video Quality
Metric (VQM). Results show considerable differences between
intraframe and interframe filtering quality, while variations in
filtering responses to each type of noise contribute to more
appropriate selection of techniques to noise reduction and provide
insight to noise difficulty levels.",
conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
conference-year = "29 Oct.-1 Nov. 2018",
doi = "10.1109/SIBGRAPI.2018.00015",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2018.00015",
language = "en",
ibi = "8JMKD3MGPAW/3RMQBE2",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3RMQBE2",
targetfile = "Paper ID 55.pdf",
urlaccessdate = "2024, Apr. 28"
}