Classical image reconstruction refers to traditional methods used to create images from raw data collected by imaging systems, such as cameras or sensors. These methods rely on mathematical algorithms and techniques, such as Fourier transforms and filtering, to interpret and process the data into visual representations. The effectiveness of classical image reconstruction depends on the quality of the input data and the underlying assumptions about the imaging system.
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