The main aim of this book is to introduce the concept of photonic information processing technologies to the graduate and post-graduate students, researchers, engineers and scientists. It is expected to give the readers an insight into the concepts of photonic techniques of processing as a system, the photonic devices as required components which are applied in the areas of communication, computation and intelligent pattern recognition.
1.Information Communication. Information. Probability. Entropy and information. Information Communication. Source encoding: Noiseless coding. Shannons theorems. Communication channels. Detection of information. Estimation of information. 2. Introduction to photonics. Information and physics. Photon and nature of light. Electromagnetic wave propagation. Electromagnetic spectrum. Optical imaging systems. Interaction of light and matter. Photometric image formation. 3. Vision, visual perception and computer vision. Introduction. Visual perception. Computer vision. Geometric primitives and transformations. 4. Photonic sources and detectors for information processing. Introduction. Elements of semiconductor physics. Photonic Sources. Photodetectors. 5. Photonic devices for modulation, storage and display. Photonic devices for light beam modulation. Photonic switching devices. Photonic storage in three dimensions. Flat panel displays. 6. Photonics in transform domain information processing. Introduction. Fourier transform. Hartley transform. Wavelet analysis and wavelet transform. Radon transform. Hough Transform. Photonic implementation of linear transforms. 7. Low level photonic information processing. Introduction. Low level image processing. Morphological operation. Photonic techniques of transformation of images into graphics. 8. Photonics in networking and communication. Light propagation in optical fiber. Photonic free-space communication. Photonic networks. Photonic secure communication. 9. Photonic computing. Introduction. Requirements of high-speed computing and parallel processing. Limitations of electronic computation. Photonics computing. Digital optics. Photonic multistage interconnection. Number systems for parallel photonic computing. Photonic computing architectures. Concluding remarks. 10. Photonic Pattern Recognition and Intelligent Processing. Introduction. Correlation filters for pattern recognition. System architecture and image Identification and recognition. Intelligent photonic processing. Artificial neural network (ANN). Associative memory model for 2D pattern recognition. Photonic implementation of artificial neural network. 11. Quantum information processing. Introduction. Notations and mathematical preliminaries. Von Neumann Entropy. Quantum bits (qubits). Entangled states and photon entanglement. Quantum computing. Quantum Communication. Concluding remarks. 12. Nanophotonic information system. Introduction. Nanophotonic devices. Photonic integration. Nanophotonic information systems. 13. Index.