Real-time local contrast enhancement algorithm for video cameras with built-in noise and artifact suppression

S.D. Cvetkovic; J. Schirris; P.H.N. With, de

doi:10.1109/ICCE.2008.4587907

Real-time local contrast enhancement algorithm for video cameras with built-in noise and artifact suppression

S.D. Cvetkovic, J. Schirris, P.H.N. With, de

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

144 Downloads (Pure)

Abstract

For real-time imaging with digital video cameras, visibility of details is very important to ensure user confidence. Many complex scenes require local contrast improvements that should bring details to the best possible visibility. However, local enhancement methods mainly suffer from ringing artifacts and over-emphasizing noise. We present a multi-window real-time high-frequency enhancement scheme, in which gain is a nonlinear function of the detail energy. Our algorithm controls perceived sharpness, ringing artifacts (contrast) and noise, resulting in a good balance between visibility of details and non- disturbance of artifacts. The new scheme can be successfully applied to any class of video system that would benefit from contrast improvement.

Original language	English
Title of host publication	Proceedings of the International Conference on Consumer Electronics 2008, ICCE 2008, 9-13 January 2008, Las Vegas, Nevada
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	3.4-4-1/2
ISBN (Electronic)	978-1-4244-1459-8
ISBN (Print)	978-1-4244-1458-1
DOIs	https://doi.org/10.1109/ICCE.2008.4587907
Publication status	Published - 2009
Event	2008 IEEE International Conference on Consumer Electronics, ICCE 2008 - Las Vegas, United States Duration: 9 Jan 2008 → 13 Jan 2008

Conference

Conference	2008 IEEE International Conference on Consumer Electronics, ICCE 2008
Abbreviated title	ICCE 2008
Country/Territory	United States
City	Las Vegas
Period	9/01/08 → 13/01/08

Access to Document

10.1109/ICCE.2008.4587907

Metis234889Final published version, 6.32 MB

Cite this

Cvetkovic, S. D., Schirris, J., & With, de, P. H. N. (2009). Real-time local contrast enhancement algorithm for video cameras with built-in noise and artifact suppression. In Proceedings of the International Conference on Consumer Electronics 2008, ICCE 2008, 9-13 January 2008, Las Vegas, Nevada (pp. 3.4-4-1/2). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCE.2008.4587907

Cvetkovic, S.D. ; Schirris, J. ; With, de, P.H.N. / Real-time local contrast enhancement algorithm for video cameras with built-in noise and artifact suppression. Proceedings of the International Conference on Consumer Electronics 2008, ICCE 2008, 9-13 January 2008, Las Vegas, Nevada. Piscataway : Institute of Electrical and Electronics Engineers, 2009. pp. 3.4-4-1/2

@inproceedings{7dbe60a715984760a1f25ce4ea3b2a14,

title = "Real-time local contrast enhancement algorithm for video cameras with built-in noise and artifact suppression",

abstract = "For real-time imaging with digital video cameras, visibility of details is very important to ensure user confidence. Many complex scenes require local contrast improvements that should bring details to the best possible visibility. However, local enhancement methods mainly suffer from ringing artifacts and over-emphasizing noise. We present a multi-window real-time high-frequency enhancement scheme, in which gain is a nonlinear function of the detail energy. Our algorithm controls perceived sharpness, ringing artifacts (contrast) and noise, resulting in a good balance between visibility of details and non- disturbance of artifacts. The new scheme can be successfully applied to any class of video system that would benefit from contrast improvement.",

author = "S.D. Cvetkovic and J. Schirris and {With, de}, P.H.N.",

year = "2009",

doi = "10.1109/ICCE.2008.4587907",

language = "English",

isbn = "978-1-4244-1458-1",

pages = "3.4--4--1/2",

booktitle = "Proceedings of the International Conference on Consumer Electronics 2008, ICCE 2008, 9-13 January 2008, Las Vegas, Nevada",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2008 IEEE International Conference on Consumer Electronics, ICCE 2008, ICCE 2008 ; Conference date: 09-01-2008 Through 13-01-2008",

}

Cvetkovic, SD, Schirris, J & With, de, PHN 2009, Real-time local contrast enhancement algorithm for video cameras with built-in noise and artifact suppression. in Proceedings of the International Conference on Consumer Electronics 2008, ICCE 2008, 9-13 January 2008, Las Vegas, Nevada. Institute of Electrical and Electronics Engineers, Piscataway, pp. 3.4-4-1/2, 2008 IEEE International Conference on Consumer Electronics, ICCE 2008, Las Vegas, Nevada, United States, 9/01/08. https://doi.org/10.1109/ICCE.2008.4587907

Real-time local contrast enhancement algorithm for video cameras with built-in noise and artifact suppression. / Cvetkovic, S.D.; Schirris, J.; With, de, P.H.N.

Proceedings of the International Conference on Consumer Electronics 2008, ICCE 2008, 9-13 January 2008, Las Vegas, Nevada. Piscataway : Institute of Electrical and Electronics Engineers, 2009. p. 3.4-4-1/2.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Real-time local contrast enhancement algorithm for video cameras with built-in noise and artifact suppression

AU - Cvetkovic, S.D.

AU - Schirris, J.

AU - With, de, P.H.N.

PY - 2009

Y1 - 2009

N2 - For real-time imaging with digital video cameras, visibility of details is very important to ensure user confidence. Many complex scenes require local contrast improvements that should bring details to the best possible visibility. However, local enhancement methods mainly suffer from ringing artifacts and over-emphasizing noise. We present a multi-window real-time high-frequency enhancement scheme, in which gain is a nonlinear function of the detail energy. Our algorithm controls perceived sharpness, ringing artifacts (contrast) and noise, resulting in a good balance between visibility of details and non- disturbance of artifacts. The new scheme can be successfully applied to any class of video system that would benefit from contrast improvement.

AB - For real-time imaging with digital video cameras, visibility of details is very important to ensure user confidence. Many complex scenes require local contrast improvements that should bring details to the best possible visibility. However, local enhancement methods mainly suffer from ringing artifacts and over-emphasizing noise. We present a multi-window real-time high-frequency enhancement scheme, in which gain is a nonlinear function of the detail energy. Our algorithm controls perceived sharpness, ringing artifacts (contrast) and noise, resulting in a good balance between visibility of details and non- disturbance of artifacts. The new scheme can be successfully applied to any class of video system that would benefit from contrast improvement.

U2 - 10.1109/ICCE.2008.4587907

DO - 10.1109/ICCE.2008.4587907

M3 - Conference contribution

SN - 978-1-4244-1458-1

SP - 3.4-4-1/2

BT - Proceedings of the International Conference on Consumer Electronics 2008, ICCE 2008, 9-13 January 2008, Las Vegas, Nevada

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2008 IEEE International Conference on Consumer Electronics, ICCE 2008

Y2 - 9 January 2008 through 13 January 2008

ER -

Cvetkovic SD, Schirris J, With, de PHN. Real-time local contrast enhancement algorithm for video cameras with built-in noise and artifact suppression. In Proceedings of the International Conference on Consumer Electronics 2008, ICCE 2008, 9-13 January 2008, Las Vegas, Nevada. Piscataway: Institute of Electrical and Electronics Engineers. 2009. p. 3.4-4-1/2 https://doi.org/10.1109/ICCE.2008.4587907

Real-time local contrast enhancement algorithm for video cameras with built-in noise and artifact suppression

Abstract

Conference

Access to Document

Fingerprint

Cite this