• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Scalable Coding of Depth Images with Synthesis-Guided Edge Detection


Abstract

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.


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Cite this article

[IEEE Style]
Lijun Zhao, Anhong Wang, Bing Zeng and Jian Jin, "Scalable Coding of Depth Images with Synthesis-Guided Edge Detection," KSII Transactions on Internet and Information Systems, vol. 9, no. 10, pp. 4108-4125, 2015. DOI: 10.3837/tiis.2015.10.019

[ACM Style]
Zhao, L., Wang, A., Zeng, B., and Jin, J. 2015. Scalable Coding of Depth Images with Synthesis-Guided Edge Detection. KSII Transactions on Internet and Information Systems, 9, 10, (2015), 4108-4125. DOI: 10.3837/tiis.2015.10.019