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

Image Formation

Lenses and Apertures

Sampling and Pixels

Photons and Sensors

1. Introduction to digital imaging

2. Imaging fundamentals

3. Image enhancement

4. Fourier analysis

5. Image sampling

6. DFT, FFT and filtering

7. Matrix analysis

8. KLT Transform

9. Restoration

10. Tomography

11. Image compression

12. Color image processing I

13. Color image processing II