| 小波分析在数字图像处理中的应用 |
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| 引用本文： | 王秀君,林小竹,史立勇.小波分析在数字图像处理中的应用[J].北京石油化工学院学报,2006,14(2):14-17. |
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| 作者姓名： | 王秀君 林小竹 史立勇 |
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| 作者单位： | 北京化工大学,北京,100029;北京石油化工学院,北京,102617;北京石油化工学院,北京,102617;中国石油勘探开发研究院,北京,100083 |
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| 摘 要： | 介绍了基于小波变换的图像分解与重构,小波变换具有时-频局部化的特点,因此不但能对图像提供较精确的时域定位,也能提供较精确的频域定位.经过小波变换的图像具有频谱划分、方向选择、多分辨率分析和天然塔式数据结构特点.基于小波变换这些特性,讨论了MATLAB语言环境下图像增强、图像融合、图像平滑和图像压缩的基本方法.通过实验可见,基于小波变换的图像处理具有理想的效果.
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| 关 键 词： | 小波分析 图象增强 图像融合 图像平滑 图像压缩 |
| 收稿时间： | 2006-02-20 |
| 修稿时间： | 2006年2月20日 |
Application of Wavelet Analysis in Image Processing |
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| Wang Xiujun,Lin Xiaozhu,Shi Liyong.Application of Wavelet Analysis in Image Processing[J].Journal of Beijing Institute of Petro-Chemical Technology,2006,14(2):14-17. |
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| Authors: | Wang Xiujun Lin Xiaozhu Shi Liyong |
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| Abstract: | This paper introduces the image decomposition and reconstruction based on wavelet analysis technique. Because wavelet analysis denotes signal with time-frequency, it can locate image with both time and frequency. Image processed by wavelet has multi-revolution and tower characteristics. Based on these characteristics, this paper discusses the essential ways of image intensification, image fusion, image flatness and image compression on the platform of MATLAB. An experimental example is taken to illustrate its ideal effect. |
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| Keywords: | wavelet analysis image intensification image fusion image flatness image com pression |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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