Image Processing and Discrete Fourier Methods

Catalog description

This course considers sampled and quantized images and temporal image sequences, along with methods for performing useful image processing. These processing methods are classified based on the number of input picture elements (“pixels”) that determine the value of each output pixel: single pixels, local neighborhoods, or global operations. The discrete Fourier transform is introduced. Application to image segmentation and compression are considered.