| 基于级数优化的小波去噪MAP图像复原方法 |
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| 引用本文： | 于淑晶,刘玉树. 基于级数优化的小波去噪MAP图像复原方法[J]. 长春理工大学学报(自然科学版), 2006, 29(4): 55-58 |
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| 作者姓名： | 于淑晶 刘玉树 |
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| 作者单位： | 北京理工大学,计算机科学技术学院,北京,100081;北京理工大学,计算机科学技术学院,北京,100081 |
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| 摘 要： | 介绍了MAP超分辨力复原方法的原理以及小波滤波去噪的原理和具体方法,由于小波变换具有多分辨率分析和在时频(空频)两域都具有表征信号局部特征的能力,基于小波阈值去噪的图像超分辨力复原方法对于低信噪比图像处理具有独特的优越性,证明了其应用于超分辨率复原算法的有效性,并提出了基于级数优化的小波去噪超分辨力复原算法。
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| 关 键 词： | 图像复原 小波阈值去噪 MAP图像复原方法 |
| 文章编号： | 1672-9870（2006）04-0055-04 |
| 收稿时间： | 2006-08-18 |
| 修稿时间： | 2006-08-18 |
MAP Superresolution Restoration Algorithm based on Optimaized Order Basic Wavelet Denoising |
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| YU Shujing,LIU Yushu. MAP Superresolution Restoration Algorithm based on Optimaized Order Basic Wavelet Denoising[J]. Journal of Changchun University of Science and Technology, 2006, 29(4): 55-58 |
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| Authors: | YU Shujing LIU Yushu |
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| Abstract: | MAP superresolution restoration algorithm and principle wavelet based on denoising are introduced.Because wavelet transform has characteristics of multiresolution analysis and the capability of represent local signal feature in time-frenquecy(space-frenquecy) domain,the superresolution restoration algorithm based on wavelet threshold denosing has unique advantage for treating low SNR image.This article proved that it was effective for superresolution restoration and further propose a new superresolution algorithm based on optimal order wavelet denosing. |
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| Keywords: | image restoration wavelet threshold denosing MAP superresolution |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
