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基于Contourlet的图像超分辨率重构算法
引用本文:钟东,陈春. 基于Contourlet的图像超分辨率重构算法[J]. 现代计算机, 2011, 0(9): 30-33
作者姓名:钟东  陈春
作者单位:钟东,ZHONG Dong(湖北成宁学院,咸宁437100;北京理工大学,北京100081);陈春,CHEN Chun(湖北咸宁市住房与城乡建设委员会,咸宁,437100)
基金项目:湖北省自然科学基金项目
摘    要:提出一种新颖的基于Contourlet的图像超分辨率重构算法,该算法对图像进行Contourlet分解后得到图像的各个方向的细节信息分块处理,根据每个小块在已有的图像库中寻找最佳匹配,恢复出低分辨率损失的系数,然后进行Contourlet重构,得到最终结果。通过采用图像各个方向的信息,重构出的图像更忠实于原图。实验分析表明,该算法能有效地实现图像超分辨重构,得到的结果更加优化。

关 键 词:超分辨率  Contourlet  小块

Image Super Resolution Reconstruction Algorithm Based on Contourlet
ZHONG Dong,CHEN Chun. Image Super Resolution Reconstruction Algorithm Based on Contourlet[J]. Modem Computer, 2011, 0(9): 30-33
Authors:ZHONG Dong  CHEN Chun
Affiliation:1.Xianning University,Xianning 437100;2.Beijing Institute of Technology,Beijing 100081; 3.Xianning City Housing and Urban and Rural Construction Commission,Xianning 437100)
Abstract:Proposes a new method of super resolution based on Contourlet.Uses Contourlet to decompose the image to get information in different directions of image,cuts the image to little patch and finds the best match in the dictionary,thus can get the coefficients that we have lost.With these coefficients we can use Contourlet to compose the original image that we are excepting.The final image is more faithful to the original one because we use all directions other than four directions,it’s much better than other methods.
Keywords:Contourlet
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