Image Processing Labs with Jupyter Notebooks

Related lectures (27)

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Covers signal representations using concepts such as Haar wavelets and FIR filters.

Covers the concept of signal representations using wavelets and the Haar wavelet.

Explores wavelets as orthonormal bases for piecewise constant signals over unit intervals.

Explores optimal transforms, image applications, linear algebra, and 2nd-order statistics in image processing.

Covers the design of wavelets using Fourier transform and procedures for selecting wavelet functions.

Explores image pyramids, multiresolution analysis, wavelet transform, filterbanks, and orthogonal wavelet filters.

Introduces the basics of image processing, covering point and spatial operators, histogram processing, and transform-domain operations.

Explores wavelet transforms, multiscale analysis, Haar expansion, and image pyramids in image processing.

Explores eigenfaces, DFT, DCT, and wavelet transforms in image processing.

Explores Haar filterbank, wavelet transforms, and the Wiener filter in image processing.