Course detail

Computer Graphics I

FAST-GE09Acad. year: 2013/2014

The subject of computer graphics, image digitization (sampling, quantization), color theory, CIE diagram, color models, dithering. Saving images in sample lines, strips, tiles. Data Compression. Lossless and lossy compression methods. The principle of vector formats, data conversion from bitmap to vector form and back. Technical resources for computer graphics, image processing, basic of 3D graphics

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

doc. Ing. Dalibor Bartoněk, CSc.

Department

Institute of Geodesy (GED)

Learning outcomes of the course unit

To master theory of graphic formats, way of input graraphic information into file, understandig principles of hardware. Understanding of graphic formats, working with graphical editors

Prerequisites

Fourier's expansion, matrix algebra

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the teaching methods are described in Article 7 of the Study and Examination Regulations of the University. Teaching theories hold presentations and direct instruction. Practical skills students will acquire the solution of several subtasks and 2 projects. The course will be based on the LMS Moodle.

Assesment methods and criteria linked to learning outcomes

Attendance, submission of laboratory reports, activity in the exercises, written tests, submission of final project

Course curriculum

1. Introduction, digitalizationof image,aliasing.
2. Colours, colours models.
3. Theory of graphics formats. Physical and logical formats, tiles.
4. Direct and indirect saveing of images, platform dependence.
5. Compression of data no-loos methods.
6. Compression of data loos methods.
7. Vector graphics, principle of vector formats,technology C4.
8. Conversion of formats, vector-raster and back.
9. Principles the most used graphical formats (BMP, PCX, TIFF, JPEG, HPGL, DXF, ...)
10. Hardware - introduction.
11. Image subsystem ofcomputer.
12. Printers, sensors.
13. Improvement of images, Correction of brightness, equalization of histogram, non-linear transformations, discrete convolution.

Work placements

Not applicable.

Aims

To master theory of graphic formats, way of input graraphic information into file, understandig principles of hardware.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Foley–Dam–Feiner–Hughes-Philips: Computer Graphics: Computer Graphics: Princ.and Pract.. Addison Wesley, 1995. (EN)
Gonzales, R. C., Woods, R. E.: Digital Image Processing. Addison Wesley, 1993. (EN)
Watt, A., Policarpo F.: The Computer Image. Addison Wesley, 1998. (EN)

Recommended reading

Klíma, Bernas, Hozman, Dvořák: Zpracování obrazové informace. Skriptum ČVUT Praha, 1996. (CS)
Šnorek: Technické prostředky poč. grafiky. Skriptum ČVUT Praha, 1996. (CS)
Žára, J., Beneš, B., Felkel, P.: Moderní počítačová grafika. Computer Press, 1998. (CS)

Classification of course in study plans

  • Programme B-K-C-GK Bachelor's

    branch G , 2 year of study, winter semester, compulsory

  • Programme B-P-C-GK Bachelor's

    branch G , 2 year of study, winter semester, compulsory
    branch GI , 2 year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Dalibor Bartoněk, CSc.

Syllabus

1. Introduction, digitalization of image, aliasing.
2. Colors, colors models.
3. Theory of graphics formats. Physical and logical formats, tiles.
4. Direct and indirect saving of images, platform dependence.
5. Compression of data no-loos methods.
6. Compression of data loos methods.
7. Vector graphics, principle of vector formats,technology C4.
8. Conversion of formats, vector-raster and back.
9. Principles the most used graphical formats (BMP, PCX, TIFF, JPEG, HPGL, DXF, ...)
10. Hardware - introduction, image subsystem of computer, printers, sensors.
11. Image enhancement, correction of brightness, equalization of histogram, non-linear transformations, discrete
convolution.
12. 2D tranformation, clipping of image objects
13. Fundamentals of 3D graphic

Exercise

26 hod., compulsory

Teacher / Lecturer

doc. Ing. Dalibor Bartoněk, CSc.

Syllabus

1.Adobe Photoshop
2.Adobe Photoshop
3.Adobe Photoshop
4. working with VKM
5. working with VKM
6. special map in MicroStation
7. special map in MicroStation
8. image classification in ArcGIS
9. image classification in ArcGIS
10. KOKEŠ - environment
11. KOKEŠ - drawing of primitives
12. KOKEŠ - editing, cells
13. final test