
Proceedings Paper
A new structure of 3D dual-tree discrete wavelet transforms and applications to video denoising and codingFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper introduces an anisotropic decomposition structure of a
recently introduced 3-D dual-tree discrete wavelet transform (DDWT),
and explores the applications for video denoising and coding. The
3-D DDWT is an attractive video representation because it isolates
motion along different directions in separate subbands, and thus
leads to sparse video decompositions. Our previous investigation
shows that the 3-D DDWT, compared to the standard discrete wavelet
transform (DWT), complies better with the statistical models based
on sparse presumptions, and gives better visual and numerical
results when used for statistical denoising algorithms. Our research
on video compression also shows that even with 4:1 redundancy, the
3-D DDWT needs fewer coefficients to achieve the same coding quality
(in PSNR) by applying the iterative projection-based noise shaping
scheme proposed by Kingsbury.
The proposed anisotropic DDWT extends the superiority of isotropic
DDWT with more directional subbands without adding to the
redundancy. Unlike the original 3-D DDWT which applies dyadic
decomposition along all three directions and produces isotropic
frequency spacing, it has a non-uniform tiling of the frequency
space. By applying this structure, we can improve the denoising
results, and the number of significant coefficients can be reduced
further, which is beneficial for video coding.
Paper Details
Date Published: 19 January 2006
PDF: 8 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771C (19 January 2006); doi: 10.1117/12.645922
Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)
PDF: 8 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771C (19 January 2006); doi: 10.1117/12.645922
Show Author Affiliations
Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)
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