Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Image Compression Using Integer Lapped Orthogonal Transform

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  • Lee, Sang-Ho (Department of Electronics & Electrical Engineering Dankook University) ;
  • Jang, Jun-Ho (Department of Electronics & Electrical Engineering Dankook University) ;
  • Kim, Young-Seop (Department of Electronics & Electrical Engineering Dankook University) ;
  • Lim, Sang-Min (St. George's School)
  • 이상호 (단국대학교 공과대학 전기전자공학부) ;
  • 장준호 (단국대학교 공과대학 전기전자공학부) ;
  • 김영섭 (단국대학교 공과대학 전기전자공학부) ;
  • 임상민 (세인트 조지)
  • Published : 2009.09.30
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Abstract

Recently, block-based transforms, like discrete cosine transform (DCT), have been widely used in image and video coding standards, but block-based transforms have a weak point with blocking effect. However, the integer lapped orthogonal transform (ILOT) is a tool for block-based coding with bases functions that overlap near blocks, so it has a strong point against blocking effect. Although it has slightly higher arithmetic complexity than the DCT, the coding gain is significantly higher with much less blocking artifacts. This paper introduces the integer lapped orthogonal transforms and discrete cosine transform. And we compare the performance of DCT with ILOT which is proposed a new efficient method for image coding applications.

Keywords

References

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