• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A Perception-based Color Correction Method for Multi-view Images

Vol. 5, No.2, February 28, 2011
10.3837/tiis.2011.02.009, Download Paper (Free):

Abstract

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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Cite this article

[IEEE Style]
Feng Shao, Gangyi Jiang, Mei Yu and Zongju Peng, "A Perception-based Color Correction Method for Multi-view Images," KSII Transactions on Internet and Information Systems, vol. 5, no. 2, pp. 390-407, 2011. DOI: 10.3837/tiis.2011.02.009

[ACM Style]
Shao, F., Jiang, G., Yu, M., and Peng, Z. 2011. A Perception-based Color Correction Method for Multi-view Images. KSII Transactions on Internet and Information Systems, 5, 2, (2011), 390-407. DOI: 10.3837/tiis.2011.02.009