Color correction for stereoscopic images

Color discrepancy in stereoscopic images may increase an audience´s sense of fatigue when it is played on a 3D display device. Proposed color correction method consists of two phases: a sample-based color matching phase that extracts sample points for color correction and uses a modified histogram mapping with the sample points, followed by an error compensation phase that estimates the quantity of errors induced from a lack of sample points and compensates for errors. Proposed method can match the color tones of left and right images without preprocessing such as rectification or stereo matching, even if the images were captured by different types of cameras with a long base-line and a large convergence.