Institute of Information Theory and Automation

Publication details

Image magnification using interval information

Journal Article

Jurio A., Pagola M., Mesiar Radko, Beliakov G., Bustince H.

serial: IEEE Transactions on Image Processing vol.20, 11 (2011), p. 3112-3123

research: CEZ:AV0Z10750506

project(s): GAP402/11/0378, GA ČR

keywords: image magnification, implication operator, interval

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abstract (eng):

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.


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Last modification: 21.12.2012
Institute of Information Theory and Automation