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.

Most implemented papers

Deep Color Mismatch Correction In Stereoscopic 3D Images

egorchistov/color-transfer 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 12 Mar 2023

We propose a real-world dataset of stereoscopic videos for color-mismatch correction.