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Digital-Image

Content

* Monadic Operation
* Fourier Transform and Sampling Theorem
* Convolution : Convolution using Fourier Transform, Sperable Kernel, Mip Mapping, Integral Image
* Linear Filtering : Noise Suppression, Edge Detection, Blur, Sharpening, Wiener Filter, Anti-aliasing
* Non-linear Filtering : Bilateral Filter, Fast Computation using Piecewise-linear, Bilateral Grid, Box Kenrel
* Image Editing : Gradient Domain, Image Stiching, Seamless Cloning, HDR
* Image Deformation : Translation, Rotation, Scaling, Skew, Affine and Projective transformations, N-point deformation
* Image Registration : Translation, Rotation, Scaling using Fourier-Mellin, N-Point
* Image segmentation : Using Maximum Flow and Random Walk

Do not copy the code, but rather try to understand it and implement it yourself.

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Digital Image Processing course at CTU

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