Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)

The Institute of Electronics and Information Engineers (대한전자공학회)
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An Adaptive Block Truncation Coding Using Human Visual System

인간시각 체계를 이용한 적응 구획 절단 부호화

  • 신용달 (경주전문대학 전자과) ;
  • 이봉락 (안동공업전문대학 전자과) ;
  • 이건일 (경북대학교 전자공학과)
  • Published : 1993.12.01
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Abstract

An adaptive block truncation coding(BTC) using human visual system(HVS) is proposed. To reduce visible blocking effect at sensitive area in HVS. a new category classification coefficient is proposed. The categroy classification coefficient was derived by combining the modified HVS and standard deviation. By computer simulations, we showed that the proposed method reduced blocking effect at low bit rate coding more than the conventional Hui's method.

Keywords