Title :
A new method of magnifying partial image based on iterated function system
Author_Institution :
Coll. of Commun. & Inf. Technol., HangZhou DianZi Univ., Hangzhou, China
Abstract :
A new method is proposed, in this paper, to magnify a portion of an image based on the fact that fractal attractor has details at every scale. The formulae for magnifying image portions with fractal method are deduced. The fractal codes, the coefficients of a set of contraction mappings, are determined by encoding the portion to be magnified. The fractal codes are then modified according to the formulae deduced in this paper, and the magnified image is obtained by decoding the modified fractal codes. Experimental results show that the new method is good for partial image magnification with no block effect.
Keywords :
fractals; image coding; image enhancement; iterative methods; contraction mapping; fractal attractor; iterated function system; modified fractal code decoding; partial image magnification; Encoding; Fractals; Image coding; Interpolation; Iterative decoding; Measurement uncertainty; fractal coding; fractal interpolation; image magnification; iterated function system;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100269
