Super-resolution Analysis for Passive Microwave Images Using FIPOCS

被引：0
|
作者：
Wang, Xue [1 ]
Wu, Jin [2 ]
Wang, Jin [1 ]
Adjouadi, Malek [1 ]
机构：
[1] Florida Int Univ, Dept Elect & Comp Engn, Miami, FL 33199 USA
[2] Wuhan Univ Sci & Technol, Coll Informat Sci & Engn, Wuhan, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2012): COMPUTER VISION, IMAGE ANALYSIS AND PROCESSING | 2013年 / 8783卷
基金：
美国国家科学基金会;
关键词：
passive microwave images; super-resolution; fractal interpolation; improved projection;
D O I：
10.1117/12.2010721
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Passive microwave images frequently have low resolution. Thus, super-resolution analysis is of great importance to improve application of passive microwave imaging for object detection. In this study, we propose the FIPOCS (Fractal interpolation with Improved Projection onto Convex Sets) technique to enhance resolution. The experimental result shows that the resolution of passive microwave image is improved when utilizing the fractal interpolation to the LR image before applying the IPOCS technique.
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页数：5
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