This course presents the techniques of Digital Image Processing. Pre-Processing the image in spatial and frequency domains: Fourier and other transforms. Geometric transformations and Brightness interpolation. Continuous and discrete convolution and filtering. Gray level transforms. Color Image Processing. Edge Detection and Feature identification. Image Compression. Morphological Image Processing. Image Segmentation. Application to models of human and machine vision. Survey and Presentation about different topics and trends in

Image Processing.​