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Dominant Color Tracking Based Color Correction for Multi-View Video Using Kalman Filter

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3 Author(s)
Feng Shao ; Fac. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China ; Gangyi Jiang ; Mei Yu

Multi-view video is a new multimedia service which provides interactive experience and depth perception. Color variations between the camera views are necessary to be eliminated in multi-view imaging. In this paper, a dominant color tracking based color correction method for multi-view video is proposed using Kalman filter. It tracks the dominant colors by using Kalman filter to fit the color variation of the real corrected multi-view videos. Experimental results show that the proposed method can eliminate discontinuous variations between frames for higher coding performance.

Published in:

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Date of Conference:

11-13 Dec. 2009