Multiple-Description Lattice Vector Quantization For Image And Video Coding Based On Coincidings Similar Sublattices Of An
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Date
2012-04
Authors
Akhtarkavan, Ehsan
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
Nowadays applications of multimedia communication are found everywhere. Digital
communication systems deal with representation of digital data for either storage or
transmission. The size of the digital data is a crucial factor for storage and error
resiliency of the data is a crucial factor for transmission systems. Thus, it is required
to have more efficient encoding algorithms in terms of compression and error
resiliency. Multiple-description (MD) coding has been a popular choice for robust
data transmission over unreliable network channels. This technique avoids having
data retransmission or the automatic repeat-request (ARQ) in a communication
system network. Lattice vector quantization (LVQ) provides lower computation for
efficient data compression. In this thesis multiple-description lattice vector
quantization for image and video coding based on coinciding similar sublattices of
(MDCLVQ-) has been targeted. The design of the MDCLVQ is based on the
coinciding similar sublattices of and . The coinciding sublattices are
geometrically similar sublattices with the same index, but generated by different
generator matrices. A novel labeling algorithm based on the coinciding sublattices is
also developed. The proposed MD coding schemes, MDCLVQ-A2 and MDCLVQA4
are applied to image coding. In addition, in this research the MDCLVQ-A2 has
been employed to H.264/AVC and Motion JPEG2000 video coding standards to
form MD video coding schemes, MDCLVQ-H.264/AVC and MDCLVQ-Motion
JPEG2000. The MD coding schemes are used in order to increase the robustness of
transmission over error-prone communication channels. The proposed MD coding
schemes have been applied to two standard test images and five videos. The
experimental results of application of the MD coders show improvements in terms of
encoding performance and transmission robustness.
Description
Keywords
Multiple-description lattice vector quantization , for image and video coding