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A Perception-based Color Correction Method for Multi-view Images
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  • A Perception-based Color Correction Method for Multi-view Images
  • A Perception-based Color Correction Method for Multi-view Images
저자명
Shao. Feng,Jiang. Gangyi,Yu. Mei,Peng. Zongju
간행물명
KSII Transactions on internet and information systems : TIIS
권/호정보
2011년|5권 2호|pp.390-407 (18 pages)
발행정보
한국인터넷정보학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Three-dimensional (3D) video technologies are becoming increasingly popular, as it can provide users with high quality and immersive experiences. However, color inconsistency between the camera views is an urgent problem to be solved in multi-view imaging. In this paper, a perception-based color correction method for multi-view images is proposed. In the proposed method, human visual sensitivity (VS) and visual attention (VA) models are incorporated into the correction process. Firstly, the VS property is used to reduce the computational complexity by removing these visual insensitive regions. Secondly, the VA property is used to improve the perceptual quality of local VA regions by performing VA-dependent color correction. Experimental results show that compared with other color correction methods, the proposed method can greatly promote the perceptual quality of local VA regions greatly and reduce the computational complexity, and obtain higher coding performance.