Image Processing

Catalog description

This course provides an introduction to the concepts and methods of image processing. The student will be exposed to sampling and quantization methods; descriptors and enhancement techniques based upon the image histogram; geometrical manipulations; interpolation and resampling; feature generation with direct application to image registration/stitching and redundancy reduction; pixel and object-level classification; frequency-domain applications, including automated image registration, data embedding, and image reconstruction; and image data redundancy and compression concepts. Emphasis is placed on efficient algorithmic implementations and applications, in an object-oriented development environment.