Abstract
Varioustypesofmulti-viewcamerasystemshave been proposed for capturing three dimensional scenes. Yet, color distributions among multi-view images remain incon- sistent in most cases, degrading multi-view video coding performance. In this paper, we propose a color correc- tion algorithm based on the camera characteristics to effec- tively solve such a problem. Initially, we model camera characteristics and estimate their coefficients by means of correspondences between views. To consider occlusion in multi-view images, correspondences are extracted via feature-based matching. During coefficient estimation with nonlinearregression,weremoveoutliersintheextractedcor- respondences. Consecutively, we generate lookup tables for eachcamerausingthemodelandestimatedcoefficients.Such tablesareemployedforfastcolorconvertinginthefinalcolor correction process. The experimental results show that our algorithm enhances coding efficiency with gains of up to 0.9 and 0.8dB for luminance and chrominance components, respectively. Further, the method also improves subjective viewing quality and reduces color distance between views.
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