Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Quantitative Image Qualify Assessment for Block-based DCT Image Coder using Human Visual Characteristics

인간시각특성을 이용한 블록기반 DCT 영상 부호화기의 정량적 화질 평가

  • 정태윤 (강릉대학교 정보전자공학부)
  • Published : 2002.10.01
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Abstract

This paper proposes a new quantitative image assessment model which is essential to verify the performance of block-based DCT coding. The proposed model considers not only global distortions such as frequency sensitivity and channel masking using HVS based visual model, but also distortions including several local distortions caused by block-based coding.

본 논문은 블록기반 DCT 부호화기의 성능 검증에 필수적인 부호화된 영상의 열화 정도를 측정하는 새로운 정량적 화질평가 모델은 제안한다. 제안된 모델은 HVS 기반의 다채널 시각 모델을 이용하여 영상신호에 있어서의 주파수 민감도와 채널의 마스킹 효과를 고려한 공간 영역상의 전반적인 왜곡의 가시도 뿐만 아니라 블록기반 DCT 부호화에서 발생할 수 있는 구획화 현상, 번짐, ringing 등의 국부적인 왜곡 특성을 측정하여 이를 화질 열화 특성에 반영하였다.

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References

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