Image Magnification Using Interval Information

被引：40

作者：

Jurio, Aranzazu ^{[1
]}

Pagola, Miguel ^{[1
]}

Mesiar, Radko ^{[2
,3
,4
]}

Beliakov, Gleb ^{[5
]}

Bustince, Humberto ^{[1
]}

机构：

[1] Univ Publ Navarra, Dept Automat & Computac, Pamplona 31006, Spain

[2] Slovak Univ Technol Bratislava, Dept Math & Descript Geometry, Bratislava 81368, Slovakia

[3] Acad Sci Czech Republ, Inst Informat Theory & Automat, CR-18208 Prague, Czech Republic

[4] Univ Ostrava, Inst Res & Applicat Fuzzy Modeling, Ostrava 70103, Czech Republic

[5] Deakin Univ, Sch Informat Technol, Burwood 3125, Australia

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2011年 / 20卷 / 11期

基金：

美国国家科学基金会;

关键词：

Image magnification; implication operator; interval; K-alpha operator; SUPERRESOLUTION; ALGORITHM;

D O I：

10.1109/TIP.2011.2158227

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：3112 / 3123

页数：12

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