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  • Filtering in the Frequency Domain

    Although significant effort was devoted in the previous chapter to spatial filtering, a thorough understanding of this area is impossible without having at least a working knowledge of how the Fourier transform and the frequency domain can be used for image filtering.You can develop a solid understanding of this topic without having to become a signal processing expert. The key lies in focusing on the fundamentals and their relevance to digital image processing.

    • A Brief History of the Fourier Series and Transform Berkas
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      The Basics of Filtering in the Frequency Domain

      Filtering techniques in the frequency domain are based on modifying the Fourier transform to achieve a specific objective and then computing the inverse DFT to get us back to the image domain, as introduced in Section 2.6.7. It follows from Eq. (4.6-15) that the two components of the transform to which we have access are the transform magnitude (spectrum) and the phase angle.


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