Image Processing

Introduction to digital image processing systems. Basic 2D transformations and representations of images (Fourier, Walsh Hadamard, KL Discrete Cosine Transform, fast implementations, image representations in MATLAB and basic commands). Image enhancement in the spatial and frequency domain. Basic color models. Image restoration (degradation model deformities, inverse filters, adaptive Weiner filter, basic MATLAB commands). Image compression and coding (Max Loyd quantization design, compression and coding models (predictive coding, DPCM, lossy/lossless compression). Wavelet transform and multiresolution analysis. Image segmentation (edge discontinuity detection, Hough transform, segmentation with regions, chain coding, etc.).