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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 7, Iss. 1 — Jan. 4, 2012

3D video visualization employing wavelet multilevel decomposition

Eduardo Ramos-Diaz and Volodymyr Ponomaryov  »View Author Affiliations

Applied Optics, Vol. 50, Issue 32, pp. 6084-6091 (2011)

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This study analyzed the implementation and performance of a framework that can be efficiently applied to three-dimensional (3D) video sequence visualization. The proposed algorithm is based on wavelets and wavelet atomic functions used in the computation of disparity maps. The proposed algorithm employs wavelet multilevel decomposition and 3D visualization via color anaglyphs synthesis. Simulations were run on synthetic images, synthetic video sequences, and real-life video sequences. Results shows that this novel approach performs better in depth and spatial perception tasks compared to existing methods, both in terms of objective criteria such as quantity of bad disparities and similarity structural index measure and the more subjective measure of human vision.

© 2011 Optical Society of America

OCIS Codes
(100.7410) Image processing : Wavelets
(330.4150) Vision, color, and visual optics : Motion detection
(110.4155) Imaging systems : Multiframe image processing
(110.3010) Imaging systems : Image reconstruction techniques

ToC Category:
Image Processing

Original Manuscript: April 25, 2011
Revised Manuscript: July 12, 2011
Manuscript Accepted: July 13, 2011
Published: November 4, 2011

Virtual Issues
Vol. 7, Iss. 1 Virtual Journal for Biomedical Optics

Eduardo Ramos-Diaz and Volodymyr Ponomaryov, "3D video visualization employing wavelet multilevel decomposition," Appl. Opt. 50, 6084-6091 (2011)

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