Depth map misalignment correction and dilation for DIBR view synthesis
| Autor: | Ka-Ho Ng, Litong Feng, Chun-Ho Cheung, Kwok-Wai Cheung, Xuyuan Xu, Chi-Wang Ting, Lai-Man Po |
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| Rok vydání: | 2013 |
| Předmět: |
Color image
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image-based modeling and rendering View synthesis Depth map Signal Processing Dilation (morphology) Preprocessor Computer vision Segmentation Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering Image warping business Software |
| Zdroj: | Signal Processing: Image Communication. 28:1023-1045 |
| ISSN: | 0923-5965 |
| DOI: | 10.1016/j.image.2013.04.003 |
| Popis: | The quality of the synthesized views by Depth Image Based Rendering (DIBR) highly depends on the accuracy of the depth map, especially the alignment of object boundaries of texture image. In practice, the misalignment of sharp depth map edges is the major cause of the annoying artifacts at the disoccluded regions of the synthesized views. Conventional smooth filter approach blurs the depth map to reduce the disoccluded regions. The drawbacks are the degradation of 3D perception of the reconstructed 3D videos and the destruction of the texture in background regions. Conventional edge preserving filter utilizes the color image information in order to align the depth edges with color edges. Unfortunately, the characteristics of color edges and depth edges are very different which causes annoying boundaries artifacts in the synthesized virtual views. Recent solution of reliability-based approach uses reliable warping information from other views to fill the holes. However, it is not suitable for the view synthesis in video-plus-depth based DIBR applications. In this paper, a new depth map preprocessing approach is proposed. It utilizes Watershed color segmentation method to correct the depth map misalignment and then the depth map object boundaries are extended to cover the transitional edge regions of color image. This approach can handle the sharp depth map edges lying inside or outside the object boundaries in 2D sense. The quality of the disoccluded regions of the synthesized views can be significantly improved and unknown depth values can also be estimated. Experimental results show that the proposed method achieves superior performance for view synthesis by DIBR especially for generating large baseline virtual views. |
| Databáze: | OpenAIRE |
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