• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Depth Up-Sampling via Pixel-Classifying and Joint Bilateral Filtering

Vol. 12, No.7, July 31, 2018
10.3837/tiis.2018.07.013, Download Paper (Free):

Abstract

In this paper, a depth image up-sampling method is put forward by using pixel classifying and jointed bilateral filtering. By analyzing the edge maps originated from the high-resolution color image and low-resolution depth map respectively, pixels in up-sampled depth maps can be classified into four categories: edge points, edge-neighbor points, texture points and smooth points. First, joint bilateral up-sampling (JBU) method is used to generate an initial up-sampling depth image. Then, for each pixel category, different refinement methods are employed to modify the initial up-sampling depth image. Experimental results show that the proposed algorithm can reduce the blurring artifact with lower bad pixel rate (BPR).


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Cite this article

[IEEE Style]
Yannan Ren, Ju Liu, Hui Yuan and Yifan Xiao, "Depth Up-Sampling via Pixel-Classifying and Joint Bilateral Filtering," KSII Transactions on Internet and Information Systems, vol. 12, no. 7, pp. 3217-3238, 2018. DOI: 10.3837/tiis.2018.07.013

[ACM Style]
Ren, Y., Liu, J., Yuan, H., and Xiao, Y. 2018. Depth Up-Sampling via Pixel-Classifying and Joint Bilateral Filtering. KSII Transactions on Internet and Information Systems, 12, 7, (2018), 3217-3238. DOI: 10.3837/tiis.2018.07.013