Title :
Analysis and realization of saliency map based on visual attention mechanism
Author :
Yaqi Hu ; Fang Meng
Author_Institution :
Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
Abstract :
In the field of digital image processing, the introduction of visual attention mechanism is of great significance to the efficiency improving in image analysis. This paper at first briefly introduces the concept of visual attention mechanism. After that, it analyzes and implements an algorithm and demonstrates its reliability and effectiveness by a large number of experiments. At last, the paper focuses on discussing the improvement methods of the algorithm, and then proposing application prospects of saliency maps such as image compression, website construction and evaluation of image quality.
Keywords :
image coding; Website construction; digital image processing; image analysis; image compression; image quality; visual attention mechanism; Algorithm design and analysis; Feature extraction; Humans; Image coding; Image color analysis; Image resolution; Visualization; difference pyramid; feature component; saliency map; visual attention mechanism;
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-0965-3
DOI :
10.1109/CISP.2012.6470028