Vector quantization and signal compression
Vector quantization and signal compression
Wavelets and subband coding
Arithmetic coding for data compression
Communications of the ACM
ACM Transactions on Information Systems (TOIS)
Eigenvalue computation in the 20th century
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. III: linear algebra
Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Source Coding Theory
Transform Coding of Images
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Information Theory and Reliable Communication
Information Theory and Reliable Communication
Source coding algorithms for fast data compression.
Source coding algorithms for fast data compression.
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Toeplitz and circulant matrices: a review
Communications and Information Theory
IEEE Transactions on Computers
Generalized kraft inequality and arithmetic coding
IBM Journal of Research and Development
An Introduction to Statistical Signal Processing
An Introduction to Statistical Signal Processing
Linear Predictive Coding and the Internet Protocol
Linear Predictive Coding and the Internet Protocol
Generalized Tunstall codes for sources with memory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Transform coding with backward adaptive updates
IEEE Transactions on Information Theory
Suboptimality of the Karhunen-Loeve transform for transform coding
IEEE Transactions on Information Theory
Optimally adaptive transform coding
IEEE Transactions on Image Processing
Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard
IEEE Transactions on Circuits and Systems for Video Technology
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Digital media technologies have become an integral part of the way we create, communicate, and consume information. At the core of these technologies are source coding methods that are described in this monograph. Based on the fundamentals of information and rate distortion theory, the most relevant techniques used in source coding algorithms are described: entropy coding, quantization as well as predictive and transform coding. The emphasis is put onto algorithms that are also used in video coding, which will be explained in the other part of this two-part monograph.