Digital image processing for clinicians, part II: Filtering
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Learning how to see an image in terms of its different frequency components leads to an intuitive understanding of the Fourier transform and the utility of manipulating different components of an image. This makes it much easier to understand the artifacts from image noise and blurring and how to use filters to correct for them.
KeywordsPower Spectrum Fast Fourier Transform Frequency Component Nuclear Cardiology Image Noise
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