The information contained in an image may be represented, analysed and processed in a wide variety of ways. In particular, the image may be transformed mathematically so as to re-structure the image information into a form better suited to immediate needs. The paper discusses three such transforms (Fourier, Hotelling, Walsh) from an intuitive standpoint. Useful information in an image is almost invariably corrupted by unwanted noise. When this noise is non-deterministic, a special conceptual framework is needed for its characterisation and subsequent analysis and processing. This framework is briefly discussed.
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