DocumentCode
3076533
Title
Ant colony algorithm for fractal image compression based on edge property
Author
Jaferzadeh, Keyvan ; Shakeri, Majid ; Gholami, Samaneh
Author_Institution
Electr. & Comput. Eng. Dept, Semnan Univ., Semnan, Iran
fYear
2009
fDate
2-4 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
The encoding step in fractal image compression is expensive because large numbers of sequential search through a list of Domains (portions of the image) are carried out while attempting to find the best match for a Range block (another portions of the image). In order to solve the encoding problem ant colony optimization was carried out. Instead of the sequential search, a direction map is built according to the edge-type of image blocks, which directs the ants in the colony to regions consisting of candidate Domains of higher similarity. Experimental results show that this method can work well and can speedup the encoding process.
Keywords
data compression; edge detection; image coding; optimisation; ant colony optimization; direction map; edge property; encoding step; fractal image compression; Ant colony optimization; Clustering algorithms; Clustering methods; Computational efficiency; Educational institutions; Fractals; Image coding; Image converters; PSNR; Search methods; Ant colony; Edge property; Fractal image Compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, 2009. ICSCCW 2009. Fifth International Conference on
Conference_Location
Famagusta
Print_ISBN
978-1-4244-3429-9
Electronic_ISBN
978-1-4244-3428-2
Type
conf
DOI
10.1109/ICSCCW.2009.5379434
Filename
5379434
Link To Document