Efficient hole filling and depth enhancement based on texture image and depth map consistency

Ting An Chang, Jung Ping Kuo, Jar Ferr Yang

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Structured-light RGB-D cameras are commonly used to capture depth images, which convey the per-pixel depth information in a scene. However, these cameras often produce regions with missing pixels. The missing pixel regions, which refer to holes, will not contain any depth information for the depth image. This reason would lead the performance to degrade seriously in modern-day three-dimensional (3D) video applications. Therefore, how to effectively utilize image information and depth maps become more and more important. In this paper, we propose adaptive texture-similarity-based hole filling (ATSHF) and adaptive texture-similarity-based depth enhancement (ATSDE). The proposed system, which is used for the enhancement of depth maps, is achieved by suppressing the noise, filling holes and sharpening object edges simultaneously. Experimental results demonstrate that the proposed method provides a superior performance, especially around the object boundary. Beside, we compare with the other state-of-the-art methods about the image and the depth map enhancement.

原文English
主出版物標題2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面192-195
頁數4
ISBN(電子)9781509015702
DOIs
出版狀態Published - 2017 一月 3
事件2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016 - Jeju, Korea, Republic of
持續時間: 2016 十月 252016 十月 28

出版系列

名字2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016

Other

Other2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016
國家Korea, Republic of
城市Jeju
期間16-10-2516-10-28

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Signal Processing

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