Title :
ImAn - educational tool for image analysis
Author :
Sprljan, Nikola ; Grgic, Sonja ; Grgic, Mislav
Author_Institution :
Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Croatia
Abstract :
In image compression system, statistical and subjective redundancies are removed to achieve bitrate reduction. Statistical and frequency characterization of image is an important step for understanding how image compression systems work. Students specializing in image and video system engineering need to know why these characteristics are important in their field of interest and to understand the influence of these characteristics on image quality. Therefore, we have developed educational software, called ImAn - Image Analyser, that helps students to analyze statistical and frequency characteristics of images that will be presented in this paper.
Keywords :
courseware; engineering education; image coding; video coding; ImAn; Image Analyser; educational software; educational tool; frequency characterization; image analysis; image compression system; image quality; image system engineering; statistical characterization; statistical redundancy; subjective redundancy; video system engineering; Bit rate; Entropy; Frequency measurement; Humans; Image analysis; Image coding; PSNR; Petroleum; Pixel; Redundancy;
Conference_Titel :
EUROCON 2003. Computer as a Tool. The IEEE Region 8
Print_ISBN :
0-7803-7763-X
DOI :
10.1109/EURCON.2003.1248018
