Digital Imaging and Photography

image alt text This course is an introduction to digital imaging and photography. 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, and machine learning for classification and computer vision.



Introduction to digital imaging

1. Image Formation

2. Image enhancement

3. Fourier analysis

4. Image sampling

5. Perception and retina displays

6. CMOS sensors and aolor arrays

7. DFT, FFT and filtering

8. X-ray tomography

9. Color image processing I

10. Neural Networks and Classification

11. Image compression