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Bovik A. Handbook of Image and Video Processing

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Bovik A. Handbook of Image and Video Processing
Издательство Academic Press, 2000, -974 pp.
As we enter the new millennium, scarcely a week passes where we do not hear an announcement of some new technological breakthrough in the areas of digital computation and telecommunication. Particularly exciting has been the participation of the general public in these developments, as affordable computers and the incredible explosion of the World Wide Web have brought a flood of instant information into a large and increasing percentage of homes and businesses. Most of this information is designed for visual consumption in the form of text, graphics, and pictures, or integrated multimedia presentations. Digital images and digital video are, respectively, pictures and movies that have been converted into a computer-readable binary format consisting of logical Os and 1s. Usually, by an image we mean a still picture that does not change with time, whereas a video evolves with time and generally contains moving and/or changing objects. Digital images or video are usually obtained by converting continuous signals into digital format, although direct digital systems are becoming more prevalent. Likewise, digital visual signals are viewed by using diverse display media, included digital printers, computer monitors, and digital projection devices. The frequency with which information is transmitted, stored, processed, and displayed in a digital visual format is increasing rapidly, and thus the design of engineering methods for efficiently transmitting, maintaining, and even improving the visual integrity of this information is of heightened interest.
One aspect of image processing that makes it such an interesting topic of study is the amazing diversity of applications that use image processing or analysis techniques. Virtually every branch of science has subdisciplines that use recording devices or sensors to collect image data from the universe around us, as depicted in Fig.
1. These data are often multidimensional and can be arranged in a format that is suitable for human viewing. Viewable datasets like this can be regarded as images, and they can be processed by using established techniques for image processing, even if the information has not been derived from visible-light sources. Moreover, the data may be recorded as they change over time, and with faster sensors and recording devices, it is becoming easier to acquire and analyze digital video datasets. By mining the rich spatiotemporal information that is available in video, one can often analyze the growth or evolutionary properties of dynamic physical phenomena or of living specimens.
Introduction
Basic Image Processing Techniques
Image and Video Processing
Irnaize and Video Analvsis
Image Compression
Video Compression
Image and Video Acquisition
Image and Video Rendering and Assessment
Image and Video Storage. Retrieval and Communication
Applications of Image Processing
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