Quality assessment of 3D synthesized views with depth map distortion

Chang Ting Tsai, Hsueh-Ming Hang

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

12 Scopus citations

Abstract

Most existing 3D image quality metrics use 2D image quality assessment (IQA) models to predict the 3D subjective quality. But in a free viewpoint television (FTV) system, the depth map errors often produce object shifting or ghost artifacts on the synthesized pictures due to the use of Depth Image Based Rendering (DIBR) technique. These artifacts are very different from the ordinary 2D distortions such as blur, Gaussian noise, and compression errors. We thus propose a new 3D quality metric to evaluate the quality of stereo images that may contain artifacts introduced by the rendering process due to depth map errors. We first eliminate the consistent pixel shifts inside an object before the usual 2D metric is applied. The experimental results show that the proposed method enhances the correlation of the objective quality score to the 3D subjective scores.

Original languageEnglish
Title of host publicationIEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing
DOIs
StatePublished - 1 Dec 2013
Event2013 IEEE International Conference on Visual Communications and Image Processing, IEEE VCIP 2013 - Kuching, Sarawak, Malaysia
Duration: 17 Nov 201320 Nov 2013

Publication series

NameIEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing

Conference

Conference2013 IEEE International Conference on Visual Communications and Image Processing, IEEE VCIP 2013
CountryMalaysia
CityKuching, Sarawak
Period17/11/1320/11/13

Keywords

  • 3D artifacts in view synthesis
  • 3D image quality assessment
  • depth map induced errors

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    Tsai, C. T., & Hang, H-M. (2013). Quality assessment of 3D synthesized views with depth map distortion. In IEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing [6706348] (IEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing). https://doi.org/10.1109/VCIP.2013.6706348