Abstract
In the depth-based 3D video system, filters used in texture and depth images denoising, such as bilateral filter and trilateral filter, are generally designed based on calculating the weighted average of reference pixels located around the pixel to be filtered. In this paper, we propose a 3D-spatial-texture bilateral filter by considering the relationship of two pixels in the 3D space, including geometric closeness in the 3D world coordinate, as well as their corresponding texture/color similarity. Accordingly, the weight is defined with two kernels describing two abovementioned factors respectively, namely, a spatial kernel and a range kernel. The experimental results show that better performance can be achieved by using the proposed filter for both texture and depth image denoising, compared with conventional bilateral filter and trilateral filter.
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© 2014 Springer International Publishing Switzerland
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Wang, X., Zhu, C., Zheng, J., Lin, Y., Zhang, Y. (2014). 3D-Spatial-Texture Bilateral Filter for Depth-Based 3D Video. In: Ooi, W.T., Snoek, C.G.M., Tan, H.K., Ho, CK., Huet, B., Ngo, CW. (eds) Advances in Multimedia Information Processing – PCM 2014. PCM 2014. Lecture Notes in Computer Science, vol 8879. Springer, Cham. https://doi.org/10.1007/978-3-319-13168-9_29
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DOI: https://doi.org/10.1007/978-3-319-13168-9_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13167-2
Online ISBN: 978-3-319-13168-9
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