Up-Sampling Method of Depth Map Using Weighted Joint Bilateral Filter 


Vol. 40,  No. 6, pp. 1175-1184, Jun.  2015


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  Abstract

A depth map is an image which contains 3D distance information. Generally, it is difficult to acquire a high resolution (HD), noise-removed, good quality depth map directly from the camera. Therefore, many researches have been focused on acquisition of the high resolution and the good quality depth map by up-sampling and pre/post image processing of the low resolution depth map. However, many researches are lack of effective up-sampling for the edge region which has huge impact on image perceptual-quality. In this paper, we propose an up-sampling method, based on joint bilateral filter, which improves up-sampling of the edge region and visual quality of synthetic images by adopting different weights for the edge parts that is sensitive to human perception characteristics. The proposed method has gains in terms of PSNR and subjective video quality compared to previous researches.

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  Cite this article

[IEEE Style]

D. Oh, B. T. Oh, J. Shin, "Up-Sampling Method of Depth Map Using Weighted Joint Bilateral Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 6, pp. 1175-1184, 2015. DOI: .

[ACM Style]

Dong-ryul Oh, Byung Tae Oh, and Jitae Shin. 2015. Up-Sampling Method of Depth Map Using Weighted Joint Bilateral Filter. The Journal of Korean Institute of Communications and Information Sciences, 40, 6, (2015), 1175-1184. DOI: .

[KICS Style]

Dong-ryul Oh, Byung Tae Oh, Jitae Shin, "Up-Sampling Method of Depth Map Using Weighted Joint Bilateral Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 6, pp. 1175-1184, 6. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880