Theory and Applications in Multimedia Compression, Encryption, and Modeling
by Olu Lafe.
Boston, MA
Springer US : Imprint : Springer
2000
(192 pages)
Multimedia systems and applications series, 16.
1 Introduction --;1.1 What are Cellular Automata? --;1.2 History of Cellular Automata --;1.3 Multi-State CA Example --;1.4 Cellular Automata Models --;1.5 Challenges in Conventional CA Modeling --;1.6 Cellular Automata Transforms --;1.7 Potential Applications of CAT --;2 Cellular Automata Transforms --;2.1 Nomenclature --;2.2 Cellular Automata Transform Bases --;2.3 Important Keys in CA Transforms --;2.4 Non-Overlapping and Overlapping CAT Filters --;2.5 CAT Sub-Band Coding --;2.6 Smoothness of Sub-Band CA Basis Functions --;3 Cellular Automata Bases --;3.1 Dual-Coefficient Basis Functions --;3.2 Multi-Coefficient CA Basis Functions --;3.3 S-Bases --;4 Multimedia Compression --;4.1 Introduction --;4.2 Encoding Strategy --;4.3 Digital Image Compression --;4.4 Audio Compression --;4.5 Video Compression --;4.6 Concluding Remarks --;5 Data Encryption --;5.1 Introduction --;5.2 Approach I --;5.3 Approach II --;5.4 Concluding Remarks --;6 Solution of Differential and Integral Equations --;6.1 Introduction --;6.2 Traditional Cellular Automata Modeling --;6.3 CA Transform Approach --;6.4 Integral Equations.
Cellular Automata Transforms describes a new approach to using the dynamical system, popularly known as cellular automata (CA), as a tool for conducting transforms on data.