.png){kind=icon}
返回
A technique for image magnification using partitioned iterative function system
.png){kind=icon}
PRE
AI
DOI：10.1016/S0031-3203(99)00108-9.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A new technique for image magnification using the theory of fractals is proposed. The technique is designed assuming self-transformability property of images. In particular, the magnification task is performed using the fractal code of the image instead of the original one resulting in a reduction in memory requirement. To generate the fractal codes. Genetic Algorithm with elitist model is used which greatly decreases the search for finding self similarities in the given image. The article presents both theory and implementation of the proposed method. A simple distortion measure scheme and a similarity criterion based on just noticeable difference have also been proposed to judge the image quality of the magnified image. Comparison with one of the most popular magnification techniques, the nearest-neighbor technique, is made, (C) 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Keyword:
image magnification
iterated function system (IFS)
partitioned iterative function system (PIFS)
genetic algorithms (GAs)
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏
查看更多内容