3D JBU based depth video filtering for temporal fluctuation reduction

Jinwook Choi, Dongbo Min, Donghyun Kim, Kwanghoon Sohn

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

7 Citations (Scopus)

Abstract

In this paper, we propose a three-dimensional Joint Bilateral Up-sampling (3D JBU) for the depth video which can be applied to a 3DTV system based on 2D-plus-depth video. Recently, a number of researches have been done to improve a resolution and frame-rate of the depth video. We proposed a novel method that enhances depth video obtained by Time-of-Flight (TOF) sensor by combining it with Charge-coupled Device (CCD) camera [1]. However, this method does not consider the temporal coherence of the depth video. It may cause an eye fatigue on the 3D display and increase bit rates on video coding, since it is possible to generate a temporal fluctuation problem. Therefore, in order to solve these problems, we propose a 3D JBU model which is extended conventional JBU into the temporal domain of depth video. Experimental results show that depth video obtained by the proposed method provides satisfactory quality.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages2777-2780
Number of pages4
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: 2010 Sep 262010 Sep 29

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period10/9/2610/9/29

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Choi, J., Min, D., Kim, D., & Sohn, K. (2010). 3D JBU based depth video filtering for temporal fluctuation reduction. In 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings (pp. 2777-2780). [5650981] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2010.5650981