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Learn about DFT of Laplacian, High Boost Filtering, Homomorphic Filtering, and more in digital image processing. Understand properties of DFT, convolution, correlation, and the need for padding. See practical examples and transformations in images.
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Lecture 10 Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002.
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
A picture from the news Before and after Lapacian filter, picture of giant squid by Japanese scientists
The tackiest pictures I could find Original After Laplacian Filter
After High Boost Filter A=1.7 A=1.4
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Properties of the DFT • Translation • Distributivity and scaling • Rotation • Periodicity and conjugate symmetry • Separability • Simplicity of computing inverse
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Need for Padding Without padding convolutions will not be properly implemented. f(x) has period A h(x) has period B g(x)= h(x)*f(x) has period P>=A+B-1
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain
Chapter 4 Image Enhancement in the Frequency Domain