Proceedings of the Korean Society of Broadcast Engineers Conference (한국방송∙미디어공학회:학술대회논문집)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
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A Depth Estimation Using Infocused and Defocused Images

인포커스 및 디포커스 영상으로부터 깊이맵 생성

  • Mahmoudpour, Seed (Dept. of Computer & Communications, Kangwon National University) ;
  • Kim, Manbae (Dept. of Computer & Communications, Kangwon National University)
  • ;
  • 김만배 (강원대학교 컴퓨터 정보통신공학과)
  • Published : 2013.11.08
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Abstract

The blur amount of an image changes proportional to scene depth. Depth from Defocus (DFD) is an approach in which a depth map can be obtained using blur amount calculation. In this paper, a novel DFD method is proposed in which depth is measured using an infocused and a defocused image. Subbaro's algorithm is used as a preliminary depth estimation method and edge blur estimation is provided to overcome drawbacks in edge.

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