KSII Transactions on Internet and Information Systems (TIIS)

  • 제5권2호
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  • Pages.390-407
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  • 2011
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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A Perception-based Color Correction Method for Multi-view Images

  • Shao, Feng (Faculty of Information Science and Engineering, Ningbo University) ;
  • Jiang, Gangyi (Faculty of Information Science and Engineering, Ningbo University) ;
  • Yu, Mei (Faculty of Information Science and Engineering, Ningbo University) ;
  • Peng, Zongju (Faculty of Information Science and Engineering, Ningbo University)
  • 투고 : 2010.11.14
  • 심사 : 2011.01.18
  • 발행 : 2011.02.28
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초록

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.

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참고문헌

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