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Image Noise/Corruption


60 min.
Objectives:
By the end of this unit you should understand;
- the basic noise processes involved in image formation
- the way in which geometric errors can be quantified
- and the relationships between noise and limiting resolution in the frequency and spatial domains

Terminology:


See:
Blurring
Quantisation
Additive/Multiplicative Noise
Replacement Noise
Geometric Distortion
Sampling Theorem


(c) Imaging Science and Biomedical Engineering 2000 [paul.bromiley@man.ac.uk]

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