Selective noise removal method in low frequency region for fiber bundle-based endoscopy

Cheon Yang Lee; Jae Ho Han

doi:10.1109/ICSMC.2012.6377879

Selective noise removal method in low frequency region for fiber bundle-based endoscopy

Cheon Yang Lee, Jae Ho Han

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper introduces the restoration method of degraded images distorted by inherent structure of fiber bundle. The criterion considered for the restoration is based on morphological processing and notch filter, removing the particular frequency, with auto peak detection. The proposed algorithm achieved effective removal of pixelated artifact such as regular honeycomb pattern by finding particular peaks in Fourier domain. As a series of procedure, we have found optimized parameter for decoupling the noise. Experimental results of contrast-to-noise ratio (CNR) demonstrate numerical enhancement from 3.9dB to 16.7dB. Our proposed method can also be expected to apply other periodic pattern noise.

Original language	English
Title of host publication	Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Pages	1109-1111
Number of pages	3
DOIs	https://doi.org/10.1109/ICSMC.2012.6377879
Publication status	Published - 2012
Event	2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 - Seoul, Korea, Republic of Duration: 2012 Oct 14 → 2012 Oct 17

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)	1062-922X

Other

Other	2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Country/Territory	Korea, Republic of
City	Seoul
Period	12/10/14 → 12/10/17

Keywords

endoscopic imaging
fiber optic imaging
image processing
optical coherence tomography

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

Access to Document

10.1109/ICSMC.2012.6377879

Cite this

Lee, C. Y., & Han, J. H. (2012). Selective noise removal method in low frequency region for fiber bundle-based endoscopy. In Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 (pp. 1109-1111). [6377879] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2012.6377879

Selective noise removal method in low frequency region for fiber bundle-based endoscopy. / Lee, Cheon Yang; Han, Jae Ho.

Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012. 2012. p. 1109-1111 6377879 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, CY & Han, JH 2012, Selective noise removal method in low frequency region for fiber bundle-based endoscopy. in Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012., 6377879, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1109-1111, 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, Seoul, Korea, Republic of, 12/10/14. https://doi.org/10.1109/ICSMC.2012.6377879

@inproceedings{dc9731a6dc4241f49cb0d1c116d9d79d,

title = "Selective noise removal method in low frequency region for fiber bundle-based endoscopy",

abstract = "This paper introduces the restoration method of degraded images distorted by inherent structure of fiber bundle. The criterion considered for the restoration is based on morphological processing and notch filter, removing the particular frequency, with auto peak detection. The proposed algorithm achieved effective removal of pixelated artifact such as regular honeycomb pattern by finding particular peaks in Fourier domain. As a series of procedure, we have found optimized parameter for decoupling the noise. Experimental results of contrast-to-noise ratio (CNR) demonstrate numerical enhancement from 3.9dB to 16.7dB. Our proposed method can also be expected to apply other periodic pattern noise.",

keywords = "endoscopic imaging, fiber optic imaging, image processing, optical coherence tomography",

author = "Lee, {Cheon Yang} and Han, {Jae Ho}",

year = "2012",

doi = "10.1109/ICSMC.2012.6377879",

language = "English",

isbn = "9781467317146",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

pages = "1109--1111",

booktitle = "Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012",

note = "2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 ; Conference date: 14-10-2012 Through 17-10-2012",

}

TY - GEN

T1 - Selective noise removal method in low frequency region for fiber bundle-based endoscopy

AU - Lee, Cheon Yang

AU - Han, Jae Ho

PY - 2012

Y1 - 2012

N2 - This paper introduces the restoration method of degraded images distorted by inherent structure of fiber bundle. The criterion considered for the restoration is based on morphological processing and notch filter, removing the particular frequency, with auto peak detection. The proposed algorithm achieved effective removal of pixelated artifact such as regular honeycomb pattern by finding particular peaks in Fourier domain. As a series of procedure, we have found optimized parameter for decoupling the noise. Experimental results of contrast-to-noise ratio (CNR) demonstrate numerical enhancement from 3.9dB to 16.7dB. Our proposed method can also be expected to apply other periodic pattern noise.

AB - This paper introduces the restoration method of degraded images distorted by inherent structure of fiber bundle. The criterion considered for the restoration is based on morphological processing and notch filter, removing the particular frequency, with auto peak detection. The proposed algorithm achieved effective removal of pixelated artifact such as regular honeycomb pattern by finding particular peaks in Fourier domain. As a series of procedure, we have found optimized parameter for decoupling the noise. Experimental results of contrast-to-noise ratio (CNR) demonstrate numerical enhancement from 3.9dB to 16.7dB. Our proposed method can also be expected to apply other periodic pattern noise.

KW - endoscopic imaging

KW - fiber optic imaging

KW - image processing

KW - optical coherence tomography

UR - http://www.scopus.com/inward/record.url?scp=84872373506&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84872373506&partnerID=8YFLogxK

U2 - 10.1109/ICSMC.2012.6377879

DO - 10.1109/ICSMC.2012.6377879

M3 - Conference contribution

AN - SCOPUS:84872373506

SN - 9781467317146

T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SP - 1109

EP - 1111

BT - Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012

T2 - 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012

Y2 - 14 October 2012 through 17 October 2012

ER -

Selective noise removal method in low frequency region for fiber bundle-based endoscopy

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this