DocumentCode :
3264798
Title :
Fractal image compression performance synthesis through HV partitioning
Author :
Rajkumar, Wathap Sapankumar ; Kulkarni, M.V. ; Dhore, M.L. ; Mali, S.N.
Author_Institution :
Pune Univ., Pune
fYear :
2006
fDate :
20-23 Dec. 2006
Firstpage :
636
Lastpage :
637
Abstract :
This paper gives the information about fractal image compression which is an efficient technique for compactly coding images, in which an image is encoded by a contractive transformation whose fixed point is close to the original image, and then is decoded by using an iterative procedure. A fractal coder partitions an image into blocks that are coded via self-references to other parts of the image itself. The most commonly used partitioning method is the quadtree partition. We are using the HV partitioning scheme to obtain the range blocks. We are also increasing number of domain pools by consider scaling factor.
Keywords :
fractals; image coding; iterative methods; quadtrees; HV partitioning scheme; fractal image compression; iterative procedure; performance synthesis; quadtree partition; Brightness; Encoding; Fractals; Head; Image coding; Iterative decoding; Reflection; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing and Communications, 2006. ADCOM 2006. International Conference on
Conference_Location :
Surathkal
Print_ISBN :
1-4244-0716-8
Electronic_ISBN :
1-4244-0716-8
Type :
conf
DOI :
10.1109/ADCOM.2006.4289976
Filename :
4289976
Link To Document :
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