Discrete images are composed of individual image points, which we denoted in section 2.3.1 as pixels. Pixels are the elementary units in digital image processing. The simplest processing is to handle these pixels as individual objects or measuring points. This approach enables us to regard image formation as a measuring process which is corrupted by noise and systematic errors. Thus we learn to handle image data as statistical quantities. As long as we are confined to individual pixels, we can apply the classical concepts of statistics which are used to handle point measurements, e. g., the measurement of meteorological parameters at a weather station such as air temperature, wind speed and direction, relative humidity, and air pressure.
KeywordsDust Covariance Coherence Expense Autocorrelation
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