文件名称:6787-14807-1-PB
- 所属分类：
- 图形图像处理(光照,映射..)
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- [PDF]
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- 2013-11-24
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- 1.32mb
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- lev****
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A Novel Image Reconstruction Algorithm Based
on Concatenated Dictionary
This paper presents a novel method for image
reconstruction, which decomposites the image by
concatenating a redundant dictionary of several bases and
then reconstruct the image efficiently by means of Matching
Pursuit algorithm. The proposed method constructs the
concatenated dictionary with cosine bases, wavelet bases
and contourlet bases, which will lead to a better
approximation of the original image. The experimental
results show that the proposed algorithm can greatly reduce
the computational complexity and generate a better
reconstruction effect compared with previous methods.-A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.
on Concatenated Dictionary
This paper presents a novel method for image
reconstruction, which decomposites the image by
concatenating a redundant dictionary of several bases and
then reconstruct the image efficiently by means of Matching
Pursuit algorithm. The proposed method constructs the
concatenated dictionary with cosine bases, wavelet bases
and contourlet bases, which will lead to a better
approximation of the original image. The experimental
results show that the proposed algorithm can greatly reduce
the computational complexity and generate a better
reconstruction effect compared with previous methods.-A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.
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6787-14807-1-PB.pdf