Photonic Imaging Systems

Course guarantor:

Petr Páta

Lecturer:

Petr Páta

Tutor:

Petr Páta

Supervisor:

Department of Radioelectronics

Synopsis:

Image and its representation. Energetic image description. Principles of image acquisition, transferring and storing. Image entropy function, 2 dimensional autocorrelation curve and probability image description. Novel compression techniques. Image reproduction, matrix description. Light diffraction. 2D transfer functions - PSF, MTF, PSF, MTF of real imaging and detection systems. 2D transfer systems and their signal distortion, image aberration and their correction, toleration analysis of optical system. Receivers and transmitters for special application. Photonic processors, computers and memories.

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

[1] Lambda Researech, Inc., TracePro , dokumentace

[2]B. Jahne, Image Processing for Scientific Applications, CRC, New York, 1997.

[3]J. W. Goodman, Introduction to Fourier Optics, 3rd edition, Roberts&Company Pub., 2005.

Note:

Time-table for winter semester 2025/2026:

Time-table is not available yet

Time-table for summer semester 2025/2026:

Time-table is not available yet

The course is a part of the following study plans:

• Doctoral studies, daily studies (compulsory elective course)
• Doctoral studies, combined studies (compulsory elective course)
• Doctoral studies, structured daily studies (compulsory elective course)
• Doctoral studies, structured combined studies (compulsory elective course)