Digital Image Processing

image alt text This course is an introduction to digital image and audio signal processing. Sensor devices capturing energy across the electromagnetic spectrum provide a rich gamut of images that can be processed digitally for a myriad of applications including medical, surveillance, remote sensing, and consumer electronics. This course provides the fundamentals mathematical tools for image analysis covering topics in sampling, perception, color, Fourier analysis and representation, unitary transforms, noise reduction and restoration, computer tomography, compression. The course also provides an introduction to the processing of audio signals and in particular, the analysis, and manipulation of musical signals. It uses data analysis and signal processing methods, and the understanding of acoustics and basic music theory, to succinctly represent and process musical signals.

Lectures

Syllabus

Introduction to digital imaging

1. Image Formation

2. Image enhancement

3. Fourier analysis

4. Image sampling

5. Imaging fundamentals

6. Chapter 6

7. DFT, FFT and filtering

8. X-ray imaging

9a. Color image processing I

9b. Color image processing II

10. Image compression

11. Neural Networks and Classification