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Edge and motion-adaptive median filtering for multi-view depth map enhancement

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

Abstract

The authors present a novel multi-view depth map enhancement method deployed as a post-processing of initially estimated depth maps, which are incoherent in the temporal and inter-view dimensions. The proposed method is based on edge and motion-adaptive median filtering and allows for an improved quality of virtual view synthesis. To enforce the spatial, temporal and inter-view coherence in the multiview depth maps, the median filtering is applied to 4-dimensional windows that consist of the spatially neighbor depth map values taken at different viewpoints and time instants. These windows have locally adaptive shapes in a presence of edges or motion to preserve sharpness and realistic rendering. We show that our enhancement method leads to a reduction of a coding bit-rate required for representation of the depth maps and also to a gain in the quality of synthesized views at an arbitrary virtual viewpoint. At the same time, the method carries a low additional computational complexity.

Publication Information

Output type

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

Original language

English

Publication milestones

  • Published - 21/07/2009

Publication status

Published - 21/07/2009

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781424445943

External Publication IDs

  • handle.net: 10547/292571
  • Scopus: 70449686959

Host publication title

nan

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