Paper Info
Title
Lossless acceleration of fractal compression using domain and range block local variance analysis
Abstract
A problem of speeding-up the fractal compression of still images is discussed. The techniques based on analysis of local variance for range blocks and domain blocks are proposed and considered. An algorithm for fast search of domain blocks corresponding to the range block in the best manner is described. It is shown that a reduction of search CPU time by several times can be provided and the obtained benefit depends upon the complexity of image to be compressed and the range block size. The proposed procedure for speeding up the fractal compression does not result in additional losses in recovered image quality
Year
DOI
Venue
2001
10.1109/ICIP.2001.958517
Image Processing, 2001. Proceedings. 2001 International Conference
Keywords
Field
DocType
data compression,fractals,image coding,search problems,complexity,domain blocks,fractal compression,local variance analysis,lossless acceleration,range blocks,recovered image quality,search,speed up,still images,histograms,image quality,acceleration,signal processing,image analysis,psnr,analysis of variance,signal analysis
Computer vision,Data compression ratio,Fractal compression,Lossy compression,Computer science,Color Cell Compression,Artificial intelligence,Data compression,Image compression,Fractal transform,Lossless compression
Conference
Volume
ISBN
Citations 
2
0-7803-6725-1
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Nikolay N. Ponomarenko143528.83
Karen O. Egiazarian215617.96
Lukin, Vladimir V.3142.34
J. Astola41174138.74