A gradient saliency based spatio-temporal video noise reduction method for digital TV

Dongni Zhang, Jong Woo Han, Jun Hyung Kim, Sung-Jea Ko

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, we propose a gradient saliency based spatio-temporal video noise reduction method for digital TV. In the proposed method, the gradient saliency, which represents the perceptually distinct image structure, is utilized to accurately identify the edge in a noisy image. The proposed spatial filtering uses the directional Gaussian filter at edge pixels and the isotropic filter at non-edge pixels. In order to suppress the noise in video sequences, we adopt a spatio-temporal structure in which temporal filtering is performed using temporal correlation between two successive frames, and then the temporal filtered result is processed by the proposed gradient saliency noise reduction filter for further noise reduction. The experiment results demonstrate that the proposed method achieves substantial improvements in terms of both visual quality and PSNR as compared with the conventional methods.

Original languageEnglish
Article number6018886
Pages (from-to)1288-1294
Number of pages7
JournalIEEE Transactions on Consumer Electronics
Volume57
Issue number3
DOIs
Publication statusPublished - 2011 Aug 1

Fingerprint

Noise abatement
Pixels
Experiments

Keywords

  • digital TV noise reduction
  • Gradient saliency
  • spatio-temporal noisereduction
  • video noise reduction

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Media Technology

Cite this

A gradient saliency based spatio-temporal video noise reduction method for digital TV. / Zhang, Dongni; Han, Jong Woo; Kim, Jun Hyung; Ko, Sung-Jea.

In: IEEE Transactions on Consumer Electronics, Vol. 57, No. 3, 6018886, 01.08.2011, p. 1288-1294.

Research output: Contribution to journalArticle

Zhang, Dongni ; Han, Jong Woo ; Kim, Jun Hyung ; Ko, Sung-Jea. / A gradient saliency based spatio-temporal video noise reduction method for digital TV. In: IEEE Transactions on Consumer Electronics. 2011 ; Vol. 57, No. 3. pp. 1288-1294.
@article{75c10ea1b04b4681a6a68bc7269664fc,
title = "A gradient saliency based spatio-temporal video noise reduction method for digital TV",
abstract = "In this paper, we propose a gradient saliency based spatio-temporal video noise reduction method for digital TV. In the proposed method, the gradient saliency, which represents the perceptually distinct image structure, is utilized to accurately identify the edge in a noisy image. The proposed spatial filtering uses the directional Gaussian filter at edge pixels and the isotropic filter at non-edge pixels. In order to suppress the noise in video sequences, we adopt a spatio-temporal structure in which temporal filtering is performed using temporal correlation between two successive frames, and then the temporal filtered result is processed by the proposed gradient saliency noise reduction filter for further noise reduction. The experiment results demonstrate that the proposed method achieves substantial improvements in terms of both visual quality and PSNR as compared with the conventional methods.",
keywords = "digital TV noise reduction, Gradient saliency, spatio-temporal noisereduction, video noise reduction",
author = "Dongni Zhang and Han, {Jong Woo} and Kim, {Jun Hyung} and Sung-Jea Ko",
year = "2011",
month = "8",
day = "1",
doi = "10.1109/TCE.2011.6018886",
language = "English",
volume = "57",
pages = "1288--1294",
journal = "IEEE Transactions on Consumer Electronics",
issn = "0098-3063",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

TY - JOUR

T1 - A gradient saliency based spatio-temporal video noise reduction method for digital TV

AU - Zhang, Dongni

AU - Han, Jong Woo

AU - Kim, Jun Hyung

AU - Ko, Sung-Jea

PY - 2011/8/1

Y1 - 2011/8/1

N2 - In this paper, we propose a gradient saliency based spatio-temporal video noise reduction method for digital TV. In the proposed method, the gradient saliency, which represents the perceptually distinct image structure, is utilized to accurately identify the edge in a noisy image. The proposed spatial filtering uses the directional Gaussian filter at edge pixels and the isotropic filter at non-edge pixels. In order to suppress the noise in video sequences, we adopt a spatio-temporal structure in which temporal filtering is performed using temporal correlation between two successive frames, and then the temporal filtered result is processed by the proposed gradient saliency noise reduction filter for further noise reduction. The experiment results demonstrate that the proposed method achieves substantial improvements in terms of both visual quality and PSNR as compared with the conventional methods.

AB - In this paper, we propose a gradient saliency based spatio-temporal video noise reduction method for digital TV. In the proposed method, the gradient saliency, which represents the perceptually distinct image structure, is utilized to accurately identify the edge in a noisy image. The proposed spatial filtering uses the directional Gaussian filter at edge pixels and the isotropic filter at non-edge pixels. In order to suppress the noise in video sequences, we adopt a spatio-temporal structure in which temporal filtering is performed using temporal correlation between two successive frames, and then the temporal filtered result is processed by the proposed gradient saliency noise reduction filter for further noise reduction. The experiment results demonstrate that the proposed method achieves substantial improvements in terms of both visual quality and PSNR as compared with the conventional methods.

KW - digital TV noise reduction

KW - Gradient saliency

KW - spatio-temporal noisereduction

KW - video noise reduction

UR - http://www.scopus.com/inward/record.url?scp=80052944388&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80052944388&partnerID=8YFLogxK

U2 - 10.1109/TCE.2011.6018886

DO - 10.1109/TCE.2011.6018886

M3 - Article

VL - 57

SP - 1288

EP - 1294

JO - IEEE Transactions on Consumer Electronics

JF - IEEE Transactions on Consumer Electronics

SN - 0098-3063

IS - 3

M1 - 6018886

ER -