0366506 20240103195753.420111110235959.9 000296016200010 10.1109/TIP.2011.2158227 12 s. cav_un_epca*02532351057-71492011 (2011)3112-3123Institute of Electrical and Electronics Engineers image magnification implication operator interval cav_un_auth*0275667 Jurio A. ES cav_un_auth*0275753 Pagola M. ES cav_un_auth*0101163 Mesiar Radko Ekonometrie Department of Econometrics E E UTIA-B Department of Econometrics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0262210 Beliakov G. AU cav_un_auth*0248954 Bustince H. ES http://library.utia.cas.cz/separaty/2011/E/mesiar-image magnification using interval information.pdf GAP402/11/0378 GA ČR cav_un_auth*0273630 CEZ:AV0Z10750506 In this paper, a simple and effective image-magnification algorithm based on intervals is proposed. A low-resolution image is magnified to form a high-resolution image using a block-expanding method. Our proposed method associates each pixel with an interval obtained by a weighted aggregation of the pixels in its neighborhood. From the interval and with a linear K-alpha operator, we obtain the magnified image. Experimental results show that our algorithm provides a magnified image with better quality (peak signal-to-noise ratio) than several existing methods. 2013 BA 5 http://hdl.handle.net/11104/0201478 COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC 3.770 0.378 7.3 0.03717 1.61 12063 296 156 1.516 34.77 4.83 Q1 94.768 92.107 Q1* Q2 2011 000296016200010 WOS cav_un_epca*0253235 IEEE Transactions on Image Processing 1057-7149 1941-0042 Roč. 20 č. 11 2011 3112 3123 Institute of Electrical and Electronics Engineers