11 July 2016 A depth-based super-resolution method for multi-view color images
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Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100110N (2016) https://doi.org/10.1117/12.2242810
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan
Abstract
Our paper presents a method for reconstructing a high-resolution (HR) image from a set of multi-view color images captured by a camera array. First, an accurate depth map of low-resolution (LR) image captured by a selected reference camera is obtained using graph cuts. Then, a HR image corresponding to the reference camera can be estimated by super-resolution reconstruction. Experiments on real images show the effectiveness of our method.
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Jun Fan, Xiangrong Zeng, Qizi Huangpeng, Jinglun Zhou, Jing Feng, "A depth-based super-resolution method for multi-view color images", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110N (11 July 2016); doi: 10.1117/12.2242810; https://doi.org/10.1117/12.2242810
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