Effective color distortion and noise reduction for unsharp masking in LCD

Kwang Wook Lee; You Sun Kim; Sang Hee Park; Suryanto; Sung Jea Ko

doi:10.1109/TCE.2008.4637643

Effective color distortion and noise reduction for unsharp masking in LCD

Kwang Wook Lee, You Sun Kim, Sang Hee Park, Suryanto, Sung Jea Ko

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

Unsharp masking is a popular image enhancement technique used to sharpen the image appearance in gray images. When applied to the color image, unsharp masking tends to introduce color distortion. In this paper, we propose a novel unsharp masking technique which can sharpen the image appearance without distorting the color and amplifying the noise. The proposed algorithm exploits the characteristics of the human visual system to control the level of sharpening and uses the energy dispersion filter to remove the color distortion. Experimental results show that our proposed algorithm successfully produces sharpened images that are free of noise and color distortion commonly found in conventional unsharp masking algorithm.

Original language	English
Pages (from-to)	1473-1477
Number of pages	5
Journal	IEEE Transactions on Consumer Electronics
Volume	54
Issue number	3
DOIs	https://doi.org/10.1109/TCE.2008.4637643
Publication status	Published - 2008

Keywords

Adaptive unsharp masking
Color distortion
Energy dispersion
Human visual system
Liquid crystal displays

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering

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10.1109/TCE.2008.4637643

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title = "Effective color distortion and noise reduction for unsharp masking in LCD",

abstract = "Unsharp masking is a popular image enhancement technique used to sharpen the image appearance in gray images. When applied to the color image, unsharp masking tends to introduce color distortion. In this paper, we propose a novel unsharp masking technique which can sharpen the image appearance without distorting the color and amplifying the noise. The proposed algorithm exploits the characteristics of the human visual system to control the level of sharpening and uses the energy dispersion filter to remove the color distortion. Experimental results show that our proposed algorithm successfully produces sharpened images that are free of noise and color distortion commonly found in conventional unsharp masking algorithm.",

keywords = "Adaptive unsharp masking, Color distortion, Energy dispersion, Human visual system, Liquid crystal displays",

author = "Lee, {Kwang Wook} and Kim, {You Sun} and Park, {Sang Hee} and Suryanto and Ko, {Sung Jea}",

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AU - Lee, Kwang Wook

AU - Kim, You Sun

AU - Park, Sang Hee

AU - Suryanto,

AU - Ko, Sung Jea

N1 - Funding Information: This research was supported by Seoul Future Contents Convergence (SFCC). Cluster established by Seoul R&BD Program.

PY - 2008

Y1 - 2008

N2 - Unsharp masking is a popular image enhancement technique used to sharpen the image appearance in gray images. When applied to the color image, unsharp masking tends to introduce color distortion. In this paper, we propose a novel unsharp masking technique which can sharpen the image appearance without distorting the color and amplifying the noise. The proposed algorithm exploits the characteristics of the human visual system to control the level of sharpening and uses the energy dispersion filter to remove the color distortion. Experimental results show that our proposed algorithm successfully produces sharpened images that are free of noise and color distortion commonly found in conventional unsharp masking algorithm.

AB - Unsharp masking is a popular image enhancement technique used to sharpen the image appearance in gray images. When applied to the color image, unsharp masking tends to introduce color distortion. In this paper, we propose a novel unsharp masking technique which can sharpen the image appearance without distorting the color and amplifying the noise. The proposed algorithm exploits the characteristics of the human visual system to control the level of sharpening and uses the energy dispersion filter to remove the color distortion. Experimental results show that our proposed algorithm successfully produces sharpened images that are free of noise and color distortion commonly found in conventional unsharp masking algorithm.

KW - Adaptive unsharp masking

KW - Color distortion

KW - Energy dispersion

KW - Human visual system

KW - Liquid crystal displays

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Effective color distortion and noise reduction for unsharp masking in LCD

Abstract

Keywords

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