1. Preserving depth resolution of synthesized images using parallax-map-based dibr for 3D-TV
- Author
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Ting-Ching Lin, Yueh-Min Huang, and Hsien-Chao Huang
- Subjects
Pixel ,Computer science ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Rendering (computer graphics) ,Visualization ,View synthesis ,Media Technology ,Parallax mapping ,Computer vision ,Artificial intelligence ,Electrical and Electronic Engineering ,business ,Image resolution ,Smoothing - Abstract
Due to the flexibility and efficiency of video-plus-depth 3D video representation format, Depth-Image-Based Rendering (DIBR) has been proposed to create content for 3D-TV. Most previous researches have focused on eliminating areas of disocclusion in synthesized images by smoothing depth-images, which is time-consuming and usually leads to the attenuation of depth-resolution and some artifacts. In this paper, we aim to investigate factors degrading visual quality and attenuating depth-resolution. Based on the investigation, a low-cost and depth-resolution-preserved Parallax-Map-Based DIBR method is then presented. Our method efficiently prevents attenuation of depth resolution and geometric distortions in synthesized images with lower computation resources compared to previous studies, as shown in the experimental results.
- Published
- 2010
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