Efficient edge, motion and depth-range adaptive processing for enhancement of multi-view depth map sequences
Issue Date
2009Subjects
adaptive signal processingdata compression
image motion analysis
image segmentation
iterative methods
Metadata
Show full item recordAbstract
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.Citation
Ekmekcioglu, E., Velisavljevic, V. and Worrall, S.T. (2009) 'Efficient edge, motion and depth-range adaptive processing for enhancement of multi-view depth map sequences', 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7-10 November. Cairo: IEEE, pp.3537-3540.Type
Conference papers, meetings and proceedingsLanguage
enISBN
9781424456550ae974a485f413a2113503eed53cd6c53
10.1109/ICIP.2009.5414087