Colour volumetric compression for realistic view synthesis applications

N Anantrasirichai, CN Canagarajah, DW Redmill, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

The 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 also rearranged by using the characteristics of human eye sensitivity. Moreover, the pre-processing for adaptive resolution is proposed in this paper. The low resolution overcomes the limitation of the data transmission at low bit rate, whilst the fine resolution improves the synthesised images' quality. The results of our proposed schemes show significant improvement of the compression performance over the traditional 3D coding.
Translated title of the contributionColour volumetric compression for realistic view synthesis applications
Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing, 2007 (ICASSP 2007)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
PagesI-1061 - I-1064
Number of pages4
VolumeI
ISBN (Print)1424407273
DOIs
Publication statusPublished - Apr 2007
Event2007 IEEE International Conference on Acoustics, Speech, and Signal Processing - Hawaii Convention Center, Honolulu, HI, United States
Duration: 15 Apr 200720 Apr 2007

Conference

Conference2007 IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated titleICASSP '07
CountryUnited States
CityHonolulu, HI
Period15/04/0720/04/07

Bibliographical note

Conference Organiser: IEEE
Rose publication type: Conference contribution

Terms of use: Copyright © 2007 IEEE. Reprinted from IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 (ICASSP 2007).


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Keywords

  • multi-view image
  • volumetric representation
  • view synthesis
  • wavelet transforms

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