Abstract
An image signal g(x) acquired by the methods described in Chap.7 is a function g : \({{\mathbb{R}}^{2}}\to {{\mathbb{R}}^{Q}}\), which—in the general case—maps the whole image plane to vectorial values, where Q denotes the number of channels (cf. Sec. 1.3). At first, both the domain and the range of the image signal are considered to be continuous. In this case, g(x) is called a continuous image signal or an analog image signal.
Keywords
- Probability Density Function
- Power Spectral Density
- Discrete Fourier Transform
- Image Signal
- Dirac Delta Function
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Beyerer, J., Puente León, F., Frese, C. (2016). Image Signals. In: Machine Vision. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47794-6_8
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