Blotch removal in degraded digital video using independent component analysis

Michele Ceccarelli, Alfredo Petrosino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Blotchy noise is one of the most common and visually annoying noises noticed in digitized motion picture films. This work investigates a three-stage blotchy noise reduction scheme combining efforts of temporal median filtering, ICA unsupervised learning and deflation after motion/compensation estimation. Implementation of each module of the scheme is discussed; finally performance of the scheme is tested and compared with other methods over real short sequences and results are discussed.

Original languageEnglish
Title of host publicationIEEE International Conference on Neural Networks - Conference Proceedings
Pages267-272
Number of pages6
Volume1
Publication statusPublished - 2004
Externally publishedYes
Event2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary
Duration: 25 Jul 200429 Jul 2004

Other

Other2004 IEEE International Joint Conference on Neural Networks - Proceedings
CountryHungary
CityBudapest
Period25/7/0429/7/04

Fingerprint

Photographic films
Unsupervised learning
Motion compensation
Independent component analysis
Noise abatement

ASJC Scopus subject areas

  • Software

Cite this

Ceccarelli, M., & Petrosino, A. (2004). Blotch removal in degraded digital video using independent component analysis. In IEEE International Conference on Neural Networks - Conference Proceedings (Vol. 1, pp. 267-272)

Blotch removal in degraded digital video using independent component analysis. / Ceccarelli, Michele; Petrosino, Alfredo.

IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 1 2004. p. 267-272.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ceccarelli, M & Petrosino, A 2004, Blotch removal in degraded digital video using independent component analysis. in IEEE International Conference on Neural Networks - Conference Proceedings. vol. 1, pp. 267-272, 2004 IEEE International Joint Conference on Neural Networks - Proceedings, Budapest, Hungary, 25/7/04.
Ceccarelli M, Petrosino A. Blotch removal in degraded digital video using independent component analysis. In IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 1. 2004. p. 267-272
Ceccarelli, Michele ; Petrosino, Alfredo. / Blotch removal in degraded digital video using independent component analysis. IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 1 2004. pp. 267-272
@inproceedings{1c145eff12554254a8951f1e2317859b,
title = "Blotch removal in degraded digital video using independent component analysis",
abstract = "Blotchy noise is one of the most common and visually annoying noises noticed in digitized motion picture films. This work investigates a three-stage blotchy noise reduction scheme combining efforts of temporal median filtering, ICA unsupervised learning and deflation after motion/compensation estimation. Implementation of each module of the scheme is discussed; finally performance of the scheme is tested and compared with other methods over real short sequences and results are discussed.",
author = "Michele Ceccarelli and Alfredo Petrosino",
year = "2004",
language = "English",
volume = "1",
pages = "267--272",
booktitle = "IEEE International Conference on Neural Networks - Conference Proceedings",

}

TY - GEN

T1 - Blotch removal in degraded digital video using independent component analysis

AU - Ceccarelli, Michele

AU - Petrosino, Alfredo

PY - 2004

Y1 - 2004

N2 - Blotchy noise is one of the most common and visually annoying noises noticed in digitized motion picture films. This work investigates a three-stage blotchy noise reduction scheme combining efforts of temporal median filtering, ICA unsupervised learning and deflation after motion/compensation estimation. Implementation of each module of the scheme is discussed; finally performance of the scheme is tested and compared with other methods over real short sequences and results are discussed.

AB - Blotchy noise is one of the most common and visually annoying noises noticed in digitized motion picture films. This work investigates a three-stage blotchy noise reduction scheme combining efforts of temporal median filtering, ICA unsupervised learning and deflation after motion/compensation estimation. Implementation of each module of the scheme is discussed; finally performance of the scheme is tested and compared with other methods over real short sequences and results are discussed.

UR - http://www.scopus.com/inward/record.url?scp=10944270662&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=10944270662&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:10944270662

VL - 1

SP - 267

EP - 272

BT - IEEE International Conference on Neural Networks - Conference Proceedings

ER -