The document describes several digital image processing projects that can be done using Matlab, including methods like hidden Markov models, weighted averaging, wavelets, and linear/nonlinear filtering. It also lists some common DIP modules like mass storage, image display, image sensors, and image processing hardware. Finally, it provides examples of uses for digital image processing like statistical analysis, biometrics, 3D graphics, multimedia, and visual content analysis.
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