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Efficient edge, motion and depth-range adaptive processing for enhancement of multi-view depth map sequences

  • University of Surrey
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

The authors present a novel and efficient multi-view depth map enhancement method proposed as a post-processing of initially estimated depth maps. The proposed method is based on edge, motion and scene depth-range adaptive median filtering and allows for an improved quality of virtual view synthesis. To enforce the spatial, temporal and inter-view coherence in the multi-view depth maps, the median filtering is applied to 4-dimensional windows that consist of the spatially neighboring depth map values taken at different viewpoints and time instants. A fast iterative block segmentation approach is adopted to adaptively shrink these windows in the presence of edges and motion for preservation of sharpness and realistic rendering and for improvement of the compression efficiency. We show that our enhancement method leads to a reduction of the coding bit-rate required for representation of the depth maps and also leads to a gain in the quality of synthesized views at arbitrary virtual viewpoints.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 01/01/2009

Publication status

Published - 01/01/2009

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781424456550

ISBN (Electronic)

9781424456550

External Publication IDs

  • handle.net: 10547/292612
  • Scopus: 77951966305

Host publication title

nan

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