Color image guided depth image super resolution using fusion filter

Jin He; Bin Liang; Ying He; Jun Yang

doi:10.1117/12.2302500

10 April 2018 Color image guided depth image super resolution using fusion filter

Jin He, Bin Liang, Ying He, Jun Yang

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106154L (2018) https://doi.org/10.1117/12.2302500
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

Depth cameras are currently playing an important role in many areas. However, most of them can only obtain lowresolution (LR) depth images. Color cameras can easily provide high-resolution (HR) color images. Using color image as a guide image is an efficient way to get a HR depth image. In this paper, we propose a depth image super resolution (SR) algorithm, which uses a HR color image as a guide image and a LR depth image as input. We use the fusion filter of guided filter and edge based joint bilateral filter to get HR depth image. Our experimental results on Middlebury 2005 datasets show that our method can provide better quality in HR depth images both numerically and visually.

Citation Download Citation

Jin He, Bin Liang, Ying He, and Jun Yang "Color image guided depth image super resolution using fusion filter", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106154L (10 April 2018); https://doi.org/10.1117/12.2302500

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