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Titolo:
A fast fractal decoding algorithm based on the selection of an initial image
Autore:
Moon, YH; Kim, HS; Kim, JH;
Indirizzi:
Samsung Electr Co Ltd, Corp R&D Ctr, Digital Media Syst Lab, Kyungki Do 442742, South Korea Samsung Electr Co Ltd Kyungki Do South Korea 442742 442742, South Korea Pusan Natl Univ, Dept Elect Engn, Pusan 609735, South Korea Pusan Natl Univ Pusan South Korea 609735 Engn, Pusan 609735, South Korea
Titolo Testata:
IEEE TRANSACTIONS ON IMAGE PROCESSING
fascicolo: 5, volume: 9, anno: 2000,
pagine: 941 - 945
SICI:
1057-7149(200005)9:5<941:AFFDAB>2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Soggetto:
CONVERGENCE;
Keywords:
fixed point theorem; fractal image decoding; initial image estimation;
Tipo documento:
Letter
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
10
Recensione:
Indirizzi per estratti:
Indirizzo: Moon, YH Samsung Electr Co Ltd, Corp R&D Ctr, Digital Media Syst Lab, Kyungki Do 442742, South Korea Samsung Electr Co Ltd Kyungki Do South Korea 442742 South Korea
Citazione:
Y.H. Moon et al., "A fast fractal decoding algorithm based on the selection of an initial image", IEEE IM PR, 9(5), 2000, pp. 941-945

Abstract

In this correspondence, we show that the number of iterations required forthe convergence of the fractal image decoding algorithm can be reduced by selecting a suitable initial image. We consider fractal decoding to have two components, namely, "DC" and "AC. " Our initial image is an approximation of the attractor of DC decoding, which is a good estimation of the "range-averaged" image, i.e., the image obtained by replacing all pixel intensitiesin a given block by the mean value of the block. From the simulation, it is demonstrated that the decoding speed is greatly improved.

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Documento generato il 24/11/20 alle ore 14:14:15