Image smoothing based on local image models

Yao Wang, Sanjit K. Mitra

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

Abstract

On the basis of an algorithm which identifies the neighborhood of a pixel as constant, oriented, or irregular based on the spatial relationship among the pixels inside this neighborhood, the use of different smoothing schemes according to the neighborhood surrounding each pixel is proposed. This approach is applied to images corrupted with additive Gaussian noise and impulse speckle noise. The flat regions of an image are smoothed sufficiently, while linear structures are enhanced.

Original languageEnglish (US)
Title of host publicationIEEE Int Conf Syst Eng
Editors Anon
PublisherPubl by IEEE
Pages81-83
Number of pages3
StatePublished - 1989
EventIEEE International Conference on Systems Engineering - Fairborn, OH, USA
Duration: Aug 24 1989Aug 26 1989

Other

OtherIEEE International Conference on Systems Engineering
CityFairborn, OH, USA
Period8/24/898/26/89

Fingerprint

Pixels
Speckle

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Wang, Y., & Mitra, S. K. (1989). Image smoothing based on local image models. In Anon (Ed.), IEEE Int Conf Syst Eng (pp. 81-83). Publ by IEEE.

Image smoothing based on local image models. / Wang, Yao; Mitra, Sanjit K.

IEEE Int Conf Syst Eng. ed. / Anon. Publ by IEEE, 1989. p. 81-83.

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

Wang, Y & Mitra, SK 1989, Image smoothing based on local image models. in Anon (ed.), IEEE Int Conf Syst Eng. Publ by IEEE, pp. 81-83, IEEE International Conference on Systems Engineering, Fairborn, OH, USA, 8/24/89.
Wang Y, Mitra SK. Image smoothing based on local image models. In Anon, editor, IEEE Int Conf Syst Eng. Publ by IEEE. 1989. p. 81-83
Wang, Yao ; Mitra, Sanjit K. / Image smoothing based on local image models. IEEE Int Conf Syst Eng. editor / Anon. Publ by IEEE, 1989. pp. 81-83
@inproceedings{3f75f3c74cae4cc6ab9d91c2f753d9c7,
title = "Image smoothing based on local image models",
abstract = "On the basis of an algorithm which identifies the neighborhood of a pixel as constant, oriented, or irregular based on the spatial relationship among the pixels inside this neighborhood, the use of different smoothing schemes according to the neighborhood surrounding each pixel is proposed. This approach is applied to images corrupted with additive Gaussian noise and impulse speckle noise. The flat regions of an image are smoothed sufficiently, while linear structures are enhanced.",
author = "Yao Wang and Mitra, {Sanjit K.}",
year = "1989",
language = "English (US)",
pages = "81--83",
editor = "Anon",
booktitle = "IEEE Int Conf Syst Eng",
publisher = "Publ by IEEE",

}

TY - GEN

T1 - Image smoothing based on local image models

AU - Wang, Yao

AU - Mitra, Sanjit K.

PY - 1989

Y1 - 1989

N2 - On the basis of an algorithm which identifies the neighborhood of a pixel as constant, oriented, or irregular based on the spatial relationship among the pixels inside this neighborhood, the use of different smoothing schemes according to the neighborhood surrounding each pixel is proposed. This approach is applied to images corrupted with additive Gaussian noise and impulse speckle noise. The flat regions of an image are smoothed sufficiently, while linear structures are enhanced.

AB - On the basis of an algorithm which identifies the neighborhood of a pixel as constant, oriented, or irregular based on the spatial relationship among the pixels inside this neighborhood, the use of different smoothing schemes according to the neighborhood surrounding each pixel is proposed. This approach is applied to images corrupted with additive Gaussian noise and impulse speckle noise. The flat regions of an image are smoothed sufficiently, while linear structures are enhanced.

UR - http://www.scopus.com/inward/record.url?scp=0024903238&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024903238&partnerID=8YFLogxK

M3 - Conference contribution

SP - 81

EP - 83

BT - IEEE Int Conf Syst Eng

A2 - Anon, null

PB - Publ by IEEE

ER -