Scalable Coding of Depth Images with Synthesis-Guided Edge Detection
This paper presents a scalable coding method for depth images by considering the quality of synthesized images in virtual views. First, we design a new edge detection algorithm that is based on calculating the depth difference between two neighboring pixels within the depth map. By choosing differen...
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Veröffentlicht in: | KSII transactions on Internet and information systems 2015, 9(10), , pp.4108-4125 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This paper presents a scalable coding method for depth images by considering the quality of synthesized images in virtual views. First, we design a new edge detection algorithm that is based on calculating the depth difference between two neighboring pixels within the depth map. By choosing different thresholds, this algorithm generates a scalable bit stream that puts larger depth differences in front, followed by smaller depth differences. A scalable scheme is also designed for coding depth pixels through a layered sampling structure. At the receiver side, the full-resolution depth image is reconstructed from the received bits by solving a partial-differential-equation (PDE). Experimental results show that the proposed method improves the rate-distortion performance of synthesized images at virtual views and achieves better visual quality. Keywords: depth image, scalable coding, inter-layer prediction, depth difference synthesis-guided edge detection, partial differential equation |
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ISSN: | 1976-7277 1976-7277 |
DOI: | 10.3837/tiis.2015.10.019 |