Source Coding is the first part of the two-part monograph
Fundamentals of Source and Video Coding by Wiegand and Schwarz. It
is devoted to the fundamental subject of source coding. Source
Coding is a standalone text and also forms the basis for the second
part, which describes the application of sources coding techniques
to video coding. Based on a simple and accessible presentation of
the fundamentals of information and rate distortion theory, the
authors describe the subjects of entropy coding and quantization as
well as predictive and transform coding. All relevant source coding
results that are required for the understanding of today's video
compression algorithms are established. The emphasis is on source
coding techniques that have become relevant for video coding in
recent years. To illustrate the concepts and efficiency of the
basic sources coding techniques, the authors provide numerous
examples and experimental results for simple model sources. In
addition to widely known results, the monograph also offers some
elements that are new or rarely covered in references on source
coding today, which include: Huffman coding for variable-length
symbol sequences and PIPE coding, scalar quantization in
combination with advanced entropy coding techniques, a simple model
for the rate distortion performance of entropy-constrained scalar
quantization for Gaussian sources that is valid over the entire bit
rate range, a proof for the optimality of the Karhunen-Loeve
transform for Gaussian sources. Source Coding is suitable as a
primary text for courses on this subject. It can also be used as a
resource for teaching and as a comprehensive reference for
professional engineers and academic researchers.
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