Image Processing II: Multiresolution Analysis and Wavelet Transform

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

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

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

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

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

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

Covers advanced topics in watermarking, including resisting scaling and rotations, self-referenced watermarking, and types of attacks.

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

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

Covers wavelet analysis and signal representations using orthonormal bases.