Imaging Informatics

Higher education teachers: Likar Boštjan

Subject description

Prerequisits:

• Enrolment in the 3rd year of study.

Content (Syllabus outline):

Human vision: eye structure, image formation, adaptation to light, space and scene, resolution, color sensing, optical illusions, image interpretation and understanding. Digital images and videos: representations and definitions, space and time sampling, quantization, image acquisition technologies, quality parameters. Visualization and manipulation: visualization of greyscale, color and multi-dimensional data via cross-sections and projections, surface and volume rendering, intensity and geometric transformations, arithmetic operations. Compression: compression fundamentals, coding, spatial and temporal redundancy, irrelevant information, measuring image information and quality, compression systems, formats and standards. Processing, restoration and analysis: filtering and quality improvement, morphological image processing, color image processing, fundamentals of segmentation, quantitative analysis and image understanding. Applications: in general use, in industry and in biomedicine for the acquisition of multi-dimensional information about space, objects and subjects.

Objectives and competences:

The aim of the subject is to introduce basic properties of human vision and the technologies for digital image acquisition, visualization, manipulation, compression, processing, and for problem solving in general use, in industry and in biomedicine.

Intended learning outcomes:

Types of images and information contents, procedures for image management, processing and general use.

Learning and teaching methods:

Basic theory, procedures and practical examples are considered at lectures, while practical knowledge is gained through problem-solving tasks at lab works.

Study materials