Abstract
Integral imaging (II) is a promising three-dimensional (3-D) imaging
technique that uses an array of diffractive or refractive optical elements
to record the 3-D information on a conventional digital sensor. With II, the
object information is recorded in the form of an array of subimages, each
representing a slightly different perspective of the object In order to obtain
high-quality 3-D images, digital sensors with a large number of pixels are
required. Consequently, high-quality II involves recording and processing
large amounts of data. In this paper, we present a compression method developed
for the particular characteristics of the digitally recorded integral image.
The compression algorithm is based on a hybrid technique implementing a four-dimensional
transform combining the discrete wavelet transform and the discrete cosine
transform. The proposed algorithm outperforms the baseline JPEG compression
scheme applied to II and a previous compression method developed for II based
on MPEG II.
© 2007 IEEE
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