SUBJECT

Title

Image and Signal Processing

Type of instruction

lecture+practical

Part of degree program
Credits

2+2+1

Recommended in

Semester 1

Typically offered in

Autumn semester

Course description

Signals and systems. Fourie-, Laplace-transform. AD conversion: sampling, quantization. DA conversion, Shannon’s formulae. Windowing. Analog and discrete filters, Signal processing in time domain, in frequency domain. Basic concepts and methods of image processing. Edge detection, segmentation. Image reconstruction. Noise reduction.

Readings

Compulsory readings:

  • Steven W. Smith, The Scientist & Engineer's Guide to Digital Signal Processing 1st Edition, California Technical Publishing, San Diego, ISBN-13: 978-0966017632, ISBN-10: 0966017633

Recommended readings:

  • Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing (3rd Edition), Pearson, ISBN-13:978-0131687288, ISBN-10: 013168728X