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

Ting An Chang, Jung Ping Kuo, Jar Ferr Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages192-195
Number of pages4
ISBN (Electronic)9781509015702
DOIs
Publication statusPublished - 2017 Jan 3
Event2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016 - Jeju, Korea, Republic of
Duration: 2016 Oct 252016 Oct 28

Publication series

Name2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016

Other

Other2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016
CountryKorea, Republic of
CityJeju
Period16-10-2516-10-28

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Signal Processing

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    Chang, T. A., Kuo, J. P., & Yang, J. F. (2017). Efficient hole filling and depth enhancement based on texture image and depth map consistency. In 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016 (pp. 192-195). [7803930] (2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APCCAS.2016.7803930