Abstract

Colour volumetric data, which is constructed from a set of multi-view images, is capable of providing realistic immersive experience. However it is not widely applicable due to its manifold increase in bandwidth. This paper presents a novel framework to achieve scalable volumetric compression. Based on wavelet transformation, data rearrangement algorithm is proposed to compact volumetric data leading to high efficiency of transformation. The colour data is rearranged using the characteristics of human visual system. A pre-processing scheme for adaptive resolution is also proposed in this paper. The low resolution overcomes the limitation of the data transmission at low bitrates, whilst the fine resolution improves the quality of the synthesised images. Results show significant improvement of the compression performance over the traditional 3D coding. Finally, effect of using residual coding is investigated in order to show a trade off between the compression and view synthesis performance.
Original languageEnglish
Pages (from-to)25-51
Number of pages27
JournalMultimedia Tools and Applications
Volume53
Issue number1
Early online date9 Feb 2010
DOIs
Publication statusPublished - May 2011

Bibliographical note

Final article published by Springer in Multimedia tools and applications, May 2011, Vol. 53, Issue 1, pp. 25-51

Structured keywords

  • Visual Perception

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