Joint-adaptive bilateral depth map upsampling |
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| Affiliation: | 1. Department of Electronics and Computer Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791, Republic of Korea;2. Department of Embedded Systems Engineering, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 406-772, Republic of Korea;1. Control and Computer Engineering Department, Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Torino, Italy;2. College of Electronics and Information Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, 610065 Chengdu, China;1. Computer Science Department, University Carlos III of Madrid, Madrid, Spain;2. Computer Science Department, University of Pisa, ISTI-CNR, Pisa, Italy |
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| Abstract: | In this paper, we present a new depth upsampler in which an upsampled depth map is computed at each pixel as the average of neighboring pixels, weighted by color and depth intensity filters. The proposed method features two parameters, an adaptive smoothing parameter and a control parameter. The adaptive smoothing parameter is determined based on the ratio between a depth map and its corresponding color image. The adaptive smoothing parameter is used to control the dynamic range of the color-range filter. The control parameter assigns a larger weighting factor to pixels in the object to which a missing pixel belongs. In a comparison with five existing upsamplers, the proposed method outperforms all five in terms of both objective and subjective quality. |
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| Keywords: | Depth upsampling 3D video Image enhancement Bilateral filter |
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