Selected Topics in Digital Image Processing

Course Description

Human visual system. Image sampling and quantization. Image representation. 2-D discrete transforms. Image enhancement. Point operations. Histogram modeling. Spatial operations. Median filter. Random fields. Image restoration. Inverse and pseudoinverse filter. Wiener filter. Image reconstruction from projections. Radon transform. Back-projection operator. Applications in transmission and emission tomography. Image coding. Image compression. Image processing software. Applications in biomedicine.

Study Programmes

Postgraduate doctoral study programme


Milan Sonka, Vaclav Hlavac, Roger Boyle (2014.), Image Processing, Analysis, and Machine Vision, Cengage Learning
Anil K. Jain (1989.), Fundamentals of Digital Image Processing, Pearson
Rafael C. Gonzalez, Richard Eugene Woods (2008.), Digital Image Processing, Prentice Hall

For students


ID 154854
  Winter semester
L2 English Level