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

Literature

(.), M. Sonka, V. Hlavac, R. Boyle: Image Processing, Analysis, and Machine Vision, 2nd Ed., Brooks/Cole, 1999.,
(.), A. K. Jain: Fundamentals of Digital Image Processing, Prentice Hall, Englewood Cliffs, 1989.,
(.), R. C. Gonzalez, R. E. Woods, Digital Image Processing, 2nd Ed., Prentice Hall, 2001.,

General

ID 154854
  Winter semester
6 ECTS
L2 English Level