대한전자공학회논문지SP (Journal of the Institute of Electronics Engineers of Korea SP)

대한전자공학회 (The Institute of Electronics and Information Engineers)
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적응적 탐색기반 움직임 추정을 사용한 프레임 율 변환 알고리즘

Frame Rate Conversion Algorithm Using Adaptive Search-based Motion Estimation

  • 김영덕 (연세대학교 전기전자공학과 TMS 정보 기술 사업단) ;
  • 장준영 (연세대학교 전기전자공학과 TMS 정보 기술 사업단) ;
  • 강문기 (연세대학교 전기전자공학과 TMS 정보 기술 사업단)
  • Kim, Young-Duk (Institute of TMS Information Technology Yonsei University) ;
  • Chang, Joon-Young (Institute of TMS Information Technology Yonsei University) ;
  • Kang, Moon-Gi (Institute of TMS Information Technology Yonsei University)
  • 발행 : 2009.05.25
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초록

본 논문에서는 적응적 탐색기반 움직임 추정을 사용한 프레임 율 변환(FRC : Frame Rate Conversion) 알고리즘을 제안한다. 제안된 움직임 추정은 회귀탐색, 삼 단계탐색(3-SS : 3-Step Search), 그리고 단일예측탐색을 복합적으로 사용하며, 이 세 가지 탐색기법 중 블록 별 영역 특성에 가장 적합한 탐색 기법을 적용한다. 이러한 적응적 탐색방법을 적용함으로써 계산 량의 증가를 억제하면서 움직임 추정의 정확도를 향상시킨다. 이를 위해 제안된 기법에서는 시간적 예측을 통해 영상전체를 블록 별 움직임 종류에 따라 3가지 영역으로 분할한다. 제안된 움직임 추정기법을 사용한 프레임 율 변환 알고리즘은 기존 알고리즘에 비해 주관적 및 객관적인 면에서 모두 뛰어난 결과를 보임을 실험을 통해 확인 할 수 있다.

In this paper, we propose a frame rate conversion algorithm using adaptive search-based motion estimation (ME). The proposed ME method uses recursive search, 3-step search, and single predicted search as candidates for search strategy. The best method among the three candidates is adaptively selected on a block basis according to the predicted motion type. The adaptation of the search method improves the accuracy of the estimated motion vectors while curbing the increase of computational load. To support the proposed ME method, an entire image is divided into three regions with different motion types. Experimental results show that the proposed FRC method achieves better image quality than existing algorithms in both subjective and objective measures.

키워드

참고문헌

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