Color Mismatch Correction
2 papers with code • 0 benchmarks • 1 datasets
Color mismatch correction is the task of transferring color from one view of a stereopair to corresponding areas in another where the colors differ incorrectly. Color mismatches can decrease the overall video quality and may cause viewer discomfort and headaches. Similar tasks are color transfer and example-based colorization.
Benchmarks
These leaderboards are used to track progress in Color Mismatch Correction
Real-World Stereo Color and Sharpness Mismatch Dataset
Most implemented papers
Deep Color Mismatch Correction In Stereoscopic 3D Images
egorchistov/color-transfer
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IEEE International Conference on Image Processing (ICIP) 2021
Color mismatch in stereoscopic 3D (S3D) images can create visual discomfort and affect the performance of S3D image processing algorithms, e. g., for depth estimation.
Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method
egorchistov/color-transfer
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We propose a real-world dataset of stereoscopic videos for color-mismatch correction.
