Abstract
In multi-view video system, variations of different camera setups (for example, camera positions, lighting conditions and camera characteristics) might cause discrepancies on the luminance and chrominance components of different views. From the viewpoint of source compression, this will lead to inaccurate inter-view prediction and lower coding efficiency. In this paper, a histogram-offset-based color correction method is developed for benefitting multi-view video coding. First, disparity estimation is conducted on the rank-transformed domain to identify the maximum matching regions between the reference view and the target view. Within the identified matching regions, the histograms of the reference view and the target view are then calculated, respectively. By using an iterative thresholding approach, a histogram offset is generated and exploited to correct the target view. Experimental results have shown that the proposed color correction method outperforms the histogram matching method on the improvement of coding efficiency.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
