Preserving depth resolution of synthesized images using parallax-map-based dibr for 3D-TV

Ting Ching Lin, Hsien Chao Huang, Yueh-Min Huang

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Due to the flexibility and efficiency of videoplus- depth 3D video representation format, Depth-Image- Based Rendering (DIBR) has been proposed to create content for 3D-TV. Most previous researches have focused on eliminating areas of disocclusion in synthesized images by smoothing depth-images, which is time-consuming and usually leads to the attenuation of depth-resolution and some artifacts. In this paper, we aim to investigate factors degrading visual quality and attenuating depth-resolution. Based on the investigation, a low-cost and depth-resolutionpreserved Parallax-Map-Based DIBR method is then presented. Our method efficiently prevents attenuation of depth resolution and geometric distortions in synthesized images with lower computation resources compared to previous studies, as shown in the experimental results.

Original languageEnglish
Article number5505993
Pages (from-to)720-727
Number of pages8
JournalIEEE Transactions on Consumer Electronics
Volume56
Issue number2
DOIs
Publication statusPublished - 2010 May 1

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Media Technology

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