Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
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Multi-scale Decomposition tone mapping using Guided Image Filter

가이디드 이미지 필터를 이용한 다중 스케일 분할 톤 매핑 기법

  • Gao, Ming (Department of Electronic Computer Engineering, Hanyang University) ;
  • Jeong, Jechang (Department of Electronic Computer Engineering, Hanyang University)
  • ;
  • 정제창 (한양대학교 전자컴퓨터통신공학과)
  • Received : 2018.05.03
  • Accepted : 2018.06.28
  • Published : 2018.07.30
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Abstract

In this paper, we propose a multi-scale high dynamic range (HDR) tone mapping algorithm using guided image filter (GIF). The GIF is used to divide an image into a base layer and a detail layer, then the range of the detail layer is reduced with a compression function to enhance the detail information of the image. However, in most cases, an image includes the detail and edge information in different scales. That is to say, it is difficult to represent all detail features under a certain scale, and a single-scale image decomposition method is not free from artifacts around edges. To solve the problems, the multi-scale image decomposition method is proposed. It utilizes the detail layers of several scale to determine how much edge is preserved. Experiment results show that the proposed algorithm has better image performance in preserving edge compared to conventional algorithm.

본 논문에서는 가이디드 이미지 필터를 이용한 다중 스케일 넓은 동적 영역 톤 매핑 알고리듬을 제안한다. 가이디드 이미지 필터는 이미지를 베이스 레이어와 디테일 레이어로 나누기 위해 사용된다. 이때 디테일 레이어의 동적 영역을 줄이기 위해 압축 함수가 사용된다. 하지만 대부분의 경우의 이미지는 다양한 스케일의 디테일과 에지 정보를 포함하고있다. 즉, 특정 스케일로 디테일 특성을 표현하는 것은 불가능하며 단일 스케일 이미지 분할 방법은 에지 주변에서 열화 현상을 야기시킨다. 이러한 문제를 해결하기 위해 다중 스케일 이미지 분할 방법을 제안한다. 다중 스케일의 디테일 레이어들을 이용하여 에지 보존 정도를 조절한다. 실험 결과를 통해 제안하는 알고리듬이 기존의 알고리듬 보다 에지 보존의 정도가 더 우수함을 보인다.

Keywords

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