Impact of Signal and Image Processing, Communications and Networking

摘要

Intensive research is still underway exclusively in the field of signal, image, and video processing which in turn explores engineering issues associated to the modeling of signals starting from the physics of the problem, developing and evaluating algorithms for extracting the necessary information from the signal, and the implementation of these algorithms on electronic and opto-electronic systems. In particular modern research areas include filter design, fast transforms, adaptive filters, spectrum estimation and modeling, sensor array processing, image processing, motion estimation from images, and the implementation of signal processing algorithms through appropriate technologies with real time applications in sonar, radar, speech, geophysics, computer-aided tomography, image restoration, robotic vision, pattern recognition, MPEG video compression for transmission and storage, print quality enhancement, and feature extraction etc. The use of image processing techniques and its associated algorithms in remote sensing is a remarkable area of research expertise including speech recognition and synthesis. The idea of video and image processing provides the ability to display and process high-resolution imagery with the aid of multiple systems that digitize, display, and process digital video. In order to carry out the specific task successfully it is necessary to have a complete suite of video distribution and editing equipment, a real-time MPEG encoder, and an ATM test bed network. Also, digital signal processing must be supported with speech processing, nonlinear DSP, neural networks, design of specialized signals, signal representation, and DSP architectures. In case of electronic imaging systems, image capturing, image rendering, and document processing can be performed with the help of high-resolution and large format printers, high-precision scanners, and high-performance workstations. Video and image compression, computer networks, multimedia authoring, media capture, wireless systems, and a wide variety of applications can also be achieved with the aid of multimedia test bed in addition to investigate and evaluate networked multimedia systems. The occurrence of several data processing technologies and high-end digital computers has enabled the ability to mathematically manipulate data which has formerly relied on the brain for processing such as speech, audio, images, and video. In particular, three major thrusts areas are signal processing which includes audio compression, speech recognition, statistical signal processing, speech synthesis, language identification, wireless sensor networks. Secondly, image processing which includes image enhancement, image compression, image reconstruction, image segmentation, image recognition, image transmission, image storage, remote sensing data analysis, medical image analysis and finally video processing which includes content-based video analysis, object tracking / recognition, visual surveillance, human activity recognition, and multimedia applications, etc. Data processing touches and solves a wide variety of engineering problems, from communication to human- computer interface, to medical imaging and multimedia. It is well known that digital image processing is a rapidly evolving area with growing practical applications in both professional markets (computer-aided tomography is extensively employed in life sciences) and consumer markets (digital photography).