image-processing

Reconstruction and compression via PCA

taught

Rebuilding an image from only its top-K eigenimage coefficients, with the reconstruction error shrinking to zero as K grows to the dataset's own rank.

Taught in

Reconstruction and compression via PCA
Digital Image Processing

Requires

eigenimages-and-dimensionality-reduction required

Required by

Denoising as an optimization problem required

Local knowledge map

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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.