Effective color distortion and noise reduction for unsharp masking in LCD

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

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


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 languageEnglish
Pages (from-to)1473-1477
Number of pages5
JournalIEEE Transactions on Consumer Electronics
Issue number3
Publication statusPublished - 2008

Bibliographical note

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


  • 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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