Joint-adaptive bilateral depth map upsampling
作者：
Highlights：
• 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 a color and depth intensity filter.
• 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 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.
摘要
Highlights•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 a color and depth intensity filter.•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 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.
论文关键词：Depth upsampling,3D video,Image enhancement,Bilateral filter
论文评审过程：Received 1 September 2013, Revised 29 November 2013, Accepted 20 January 2014, Available online 5 February 2014.
论文官网地址：https://doi.org/10.1016/j.image.2014.01.011
