2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDTEC-3.4
Paper Title DEEP COLOR MISMATCH CORRECTION IN STEREOSCOPIC 3D IMAGES
Authors Simone Croci, Trinity College Dublin, Ireland; Cagri Ozcinar, Samsung Research Institute UK, United Kingdom; Emin Zerman, Trinity College Dublin, Ireland; Roman Dudek, Universidad de Las Palmas de Gran Canaria, Spain; Sebastian Knorr, Ernst Abbe University of Applied Sciences Jena, Germany; Aljosa Smolic, Trinity College Dublin, Ireland
SessionTEC-3: Restoration and Enhancement 3
LocationArea G
Session Time:Wednesday, 22 September, 08:00 - 09:30
Presentation Time:Wednesday, 22 September, 08:00 - 09:30
Presentation Poster
Topic Image and Video Processing: Restoration and enhancement
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract 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. In this paper, we propose a new deep learning-based solution for the problem of color mismatch correction. The proposed solution consists of a multi-task convolutional neural network, where color correction is the primary task and correspondence estimation is the secondary task. For the training and evaluation of the proposed network, a new S3D image dataset with color mismatch was created. Based on this dataset, experiments were conducted showing the effectiveness of our solution.