DocumentCode
467664
Title
Fractal Image Coding Based on Local Similarity
Author
Shen, Jia-li ; Zhou, Ming-quan ; Luo, Yan-lin ; Zheng, Xin ; Wang, Ying-ying
Author_Institution
Beijing Normal Univ., Beijing
Volume
1
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
350
Lastpage
355
Abstract
Based on the local similarity in images and the relationship between local similarity and affine transformation, we propose a new method of fractal image coding by using neighboring boxes to reduce the searching scope efficiently. The technology of quad tree subdividing and brightness distribution matching are also utilized to save the encoding time. Final experiments show that the high quality coding images can be achieved.
Keywords
affine transforms; encoding; fractals; image coding; image matching; quadtrees; affine transformation; brightness distribution matching; encoding; fractal image coding; local similarity; quad tree; quality coding; Cybernetics; Encoding; Finance; Fractals; Humans; Image coding; Information management; Information science; Iterative decoding; Machine learning; Affine transformation; Fractal; Image; Image coding; Local similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370168
Filename
4370168
Link To Document