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13 - Color and multi-component image and video coding

Published online by Cambridge University Press:  05 June 2012

William A. Pearlman  and
Amir Said
William A. Pearlman
Affiliation:
Rensselaer Polytechnic Institute, New York
Amir Said
Affiliation:
Hewlett-Packard Laboratories, Palo Alto, California
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Summary

Introduction

Due to advances in the technology of metrology and storage density, acquisition of images is now increasingly being practiced in more than two dimensions and in ever finer resolutions and in numerous scientific fields. Scientific data are being acquired, stored, and analyzed as images. Volume or three-dimensional images are generated in clinical medicine by CT or MRI scans of regions of the human body. Such an image can be regarded as a sequence of two-dimensional slice images of a bodily section. Tomographic methods in electron microscopy, for example, produce images in slices through the material being surveyed. The material can be a biological specimen or a materials microstructure. In remote sensing, a surface is illuminated with broad-spectrum radiation and the reflectance spectrum of each point on the surface is measured and recorded. In this way, a reflectance “image” of the surface is generated for a number of spectral bands. One uses the term multi-spectral imaging when the number of bands is relatively small, say less than 20, and the term hyper-spectral imaging when the number of bands is larger, usually hundreds. In either case, one can view the data either as a sequence of images or a single image of vector pixels. One particular kind of multi-spectral image is a color image, where the spectrum is in the range of visible wavelengths. Because of the properties of the human visual system, only three particular color images are needed to generate a visual response in the human viewer.

Type
Chapter
Information
Digital Signal Compression
Principles and Practice
 , pp. 373 - 397
Publisher: Cambridge University Press
Print publication year: 2011

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References

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