Image Magnification Using Interval Information

Authors:
Aranzazu Jurio;Miguel Pagola;Radko Mesiar;Gleb Beliakov;Humberto Bustince
Affiliations:
Departamento de Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain;Departamento de Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain;Department of Mathematics and Descriptive Geometry, Slovak University of Technology, Bratislava, Slovakia;School Information Technology, Deakin University, Burwood, Australia;Departamento de Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain
Venue:
IEEE Transactions on Image Processing
Year:
2011

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Abstract

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.