Image denoising considering characteristics of YCbCr color channels

Gyujin Bae; Sung In Cho; Sanghun Kim; Young Hwan Kim

doi:10.1109/ICCE-Berlin.2014.7034222

Image denoising considering characteristics of YCbCr color channels

Gyujin Bae
, Sung In Cho
, Sanghun Kim
, Young Hwan Kim

Department of Computer Science and Artificial Intelligence

Pohang University of Science and Technology

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

Abstract

In this paper, we propose a channel-adaptive denoising framework that considers YCbCr color space. The framework uses non-local means filtering for the Y channel and anisotropic diffusion filtering for the CbCr channels. Compared to non-local means filtering, which gives the highest peak signal-to-noise ratio (PSNR) among weighted average methods, the proposed approach reduced the processing time by ∼ 76 % and reduced energy consumption by ∼79 %, while maintaining comparable PSNR.

Original language	English
Title of host publication	Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Editors	Francisco J. Bellido, Dietmar Hepper, Hans L. Cycon, Alexander Huhn
Publisher	IEEE Computer Society
Pages	188-191
Number of pages	4
Edition	February
ISBN (Electronic)	9781479961658
DOIs	https://doi.org/10.1109/ICCE-Berlin.2014.7034222
State	Published - 5 Feb 2015
Event	2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin - Berlin, Germany Duration: 7 Sep 2014 → 10 Sep 2014

Publication series

Name	IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Number	February
Volume	2015-February
ISSN (Print)	2166-6814
ISSN (Electronic)	2166-6822

Conference

Conference	2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Country/Territory	Germany
City	Berlin
Period	7/09/14 → 10/09/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

anisotropic diffusion
Channel-adaptive filter
Non-local means filtering

Access to Document

10.1109/ICCE-Berlin.2014.7034222

Cite this

Bae, G., Cho, S. I., Kim, S., & Kim, Y. H. (2015). Image denoising considering characteristics of YCbCr color channels. In F. J. Bellido, D. Hepper, H. L. Cycon, & A. Huhn (Eds.), Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin (February ed., pp. 188-191). Article 7034222 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; Vol. 2015-February, No. February). IEEE Computer Society. https://doi.org/10.1109/ICCE-Berlin.2014.7034222

Bae, Gyujin ; Cho, Sung In ; Kim, Sanghun et al. / Image denoising considering characteristics of YCbCr color channels. Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin. editor / Francisco J. Bellido ; Dietmar Hepper ; Hans L. Cycon ; Alexander Huhn. February. ed. IEEE Computer Society, 2015. pp. 188-191 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; February).

@inproceedings{f08db3a23bd349a09186845d537e80ca,

title = "Image denoising considering characteristics of YCbCr color channels",

abstract = "In this paper, we propose a channel-adaptive denoising framework that considers YCbCr color space. The framework uses non-local means filtering for the Y channel and anisotropic diffusion filtering for the CbCr channels. Compared to non-local means filtering, which gives the highest peak signal-to-noise ratio (PSNR) among weighted average methods, the proposed approach reduced the processing time by ∼ 76 \% and reduced energy consumption by ∼79 \%, while maintaining comparable PSNR.",

keywords = "anisotropic diffusion, Channel-adaptive filter, Non-local means filtering",

author = "Gyujin Bae and Cho, \{Sung In\} and Sanghun Kim and Kim, \{Young Hwan\}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin ; Conference date: 07-09-2014 Through 10-09-2014",

year = "2015",

month = feb,

day = "5",

doi = "10.1109/ICCE-Berlin.2014.7034222",

language = "English",

series = "IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin",

publisher = "IEEE Computer Society",

number = "February",

pages = "188--191",

editor = "Bellido, \{Francisco J.\} and Dietmar Hepper and Cycon, \{Hans L.\} and Alexander Huhn",

booktitle = "Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin",

address = "United States",

edition = "February",

}

Bae, G, Cho, SI, Kim, S & Kim, YH 2015, Image denoising considering characteristics of YCbCr color channels. in FJ Bellido, D Hepper, HL Cycon & A Huhn (eds), Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin. February edn, 7034222, IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin, no. February, vol. 2015-February, IEEE Computer Society, pp. 188-191, 2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin, Berlin, Germany, 7/09/14. https://doi.org/10.1109/ICCE-Berlin.2014.7034222

Image denoising considering characteristics of YCbCr color channels. / Bae, Gyujin; Cho, Sung In; Kim, Sanghun et al.
Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin. ed. / Francisco J. Bellido; Dietmar Hepper; Hans L. Cycon; Alexander Huhn. February. ed. IEEE Computer Society, 2015. p. 188-191 7034222 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; Vol. 2015-February, No. February).

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

TY - GEN

T1 - Image denoising considering characteristics of YCbCr color channels

AU - Bae, Gyujin

AU - Cho, Sung In

AU - Kim, Sanghun

AU - Kim, Young Hwan

PY - 2015/2/5

Y1 - 2015/2/5

N2 - In this paper, we propose a channel-adaptive denoising framework that considers YCbCr color space. The framework uses non-local means filtering for the Y channel and anisotropic diffusion filtering for the CbCr channels. Compared to non-local means filtering, which gives the highest peak signal-to-noise ratio (PSNR) among weighted average methods, the proposed approach reduced the processing time by ∼ 76 % and reduced energy consumption by ∼79 %, while maintaining comparable PSNR.

AB - In this paper, we propose a channel-adaptive denoising framework that considers YCbCr color space. The framework uses non-local means filtering for the Y channel and anisotropic diffusion filtering for the CbCr channels. Compared to non-local means filtering, which gives the highest peak signal-to-noise ratio (PSNR) among weighted average methods, the proposed approach reduced the processing time by ∼ 76 % and reduced energy consumption by ∼79 %, while maintaining comparable PSNR.

KW - anisotropic diffusion

KW - Channel-adaptive filter

KW - Non-local means filtering

UR - https://www.scopus.com/pages/publications/84937911005

U2 - 10.1109/ICCE-Berlin.2014.7034222

DO - 10.1109/ICCE-Berlin.2014.7034222

M3 - Conference contribution

AN - SCOPUS:84937911005

T3 - IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin

SP - 188

EP - 191

BT - Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin

A2 - Bellido, Francisco J.

A2 - Hepper, Dietmar

A2 - Cycon, Hans L.

A2 - Huhn, Alexander

PB - IEEE Computer Society

T2 - 2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin

Y2 - 7 September 2014 through 10 September 2014

ER -

Bae G, Cho SI, Kim S, Kim YH. Image denoising considering characteristics of YCbCr color channels. In Bellido FJ, Hepper D, Cycon HL, Huhn A, editors, Proceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin. February ed. IEEE Computer Society. 2015. p. 188-191. 7034222. (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; February). doi: 10.1109/ICCE-Berlin.2014.7034222

Image denoising considering characteristics of YCbCr color channels

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this