Abstract
Integral imaging is a technique capable of displaying
3D images with continuous parallax in full natural color. It has been reported
by many research groups and is becoming a viable alternative for 3D television.
With the development of 3D integral imaging, image compression becomes mandatory
for the storage and transmission of 3D integral images. In this paper, the
use of the lifting scheme in the application of a 3D Wavelet Transform for
the compression of 3D Integral Images is proposed. The method requires
the extraction of different viewpoint images from an integral image. The 3D
wavelet decomposition is computed by applying three separate 1D transforms
along the coordinate axes of the given sequence of Viewpoint Images. The spatial
wavelet decompositions on a single viewpoint and on the inter-viewpoint images
are performed using the biorthogonal Cohen–Debauchies–Feauveau
9/7 and 5/3 filter banks, respectively. All the resulting wavelet coefficients
from application of the 3D wavelet decomposition are arithmetic
encoded.Simulations are performed on a set of different grey level
3D Integral Images using a uniform scalar quantizer with deadzone. The results
for the average of the four intensity distributions are presented and compared
with previous use of 2D DWT and 3D-DCT based schemes. It was found that the
algorithm achieves better rate-distortion performance and reconstructs the
images with much better image quality at very low bit rates.
© 2011 IEEE
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