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Published in:
2013 | OriginalPaper | Chapter
A New Closed Loop Method of Super-Resolution for Multi-view Images
Authors : Jing Zhang, Yang Cao, Zhigang Zheng, Zengfu Wang
Published in: Advances in Multimedia Modeling
Publisher: Springer Berlin Heidelberg
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In this paper, we propose a closed loop method to resolve the multi-view super-resolution problems. Given that the input is one high-resolution view along with its neighboring low-resolution views, our method can give the super-resolution results and obtain a high quality depth map simultaneously. The closed loop method consists of two parts, part I: stereo matching and depth maps fusion and part II: super-resolution. Under the guidance of the depth information, the super-resolution process can be divided into three steps, disparity based pixel mapping, nonlocal construction and final fusion. Once we have the super-resolution results, we can update the disparity maps, and in addition, use the proposed 3D-median filter to update the depth map. We repeat the loop for several times to obtain the high quality super-resolution results and depth map simultaneously. The experimental results show that the proposed method can achieve high quality performance at varies scale factors.