A depth-based super-resolution method for multi-view color images

Jun Fan; Xiangrong Zeng; Qizi Huangpeng; Jinglun Zhou; Jing Feng

doi:10.1117/12.2242810

11 July 2016 A depth-based super-resolution method for multi-view color images

Jun Fan, Xiangrong Zeng, Qizi Huangpeng, Jinglun Zhou, Jing Feng

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.

Citation Download Citation

Jun Fan, Xiangrong Zeng, Qizi Huangpeng, Jinglun Zhou, and 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); https://doi.org/10.1117/12.2242810

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