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能量分布特性
相关语句
  energy distribution character
    The model referring to Human Visual System and wavelet image energy distribution character,utilizes the multi-resolution of wavelet image to get edge character. The wavelet-image is added to watermark information. Which is good to hide watermark.
    利用图像的小波变换获得的图像边缘特征信息,参考人类视觉系统(HVS)模型和小波图像的能量分布特性,将水印信息按小波图像的局部边缘特性,将水印信息嵌入到图像中,从而有效地隐藏水印。
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    Energy distribution of atoms used in MP is studied and most of computational loads can therefore be avoided by making use of the atom energy property.
    研究了图像稀疏分解中使用的原子的能量分布特性,根据原子能量的分布特性,图像匹配追踪中的绝大部分的计算可以省略,因而极大地提高了图像匹配追踪的计算速度。
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Reinforcing the edge and features of the image can make it clear to human vision character or recognition for machine system.The wavelet coefficients of image are reflect to the image frequency and the feature of energy distributions.This paper develop a method to get the just threshold based on energy distributions of scale small-images coming from the muti-scale DWT for the former image.The DWT decomposes an image into a set of different scale smaller images,detail coefficients are enhanced based on the thresholding...

Reinforcing the edge and features of the image can make it clear to human vision character or recognition for machine system.The wavelet coefficients of image are reflect to the image frequency and the feature of energy distributions.This paper develop a method to get the just threshold based on energy distributions of scale small-images coming from the muti-scale DWT for the former image.The DWT decomposes an image into a set of different scale smaller images,detail coefficients are enhanced based on the thresholding filter,then inverse transform can get the reinforced image.

为了提高图像的清晰度使之更适合于人的视觉特性或机器的识别,需要对图像的特征或边缘进行加强。本文根据图像的小波系数反映了图像的频率和能量的分布特性,提出了依据各尺度的小波分解得到的子图块能量的分布来相应地采取阀值。从而,依据阀值对子图进行系数变换,之后通过小波重构得到最终的增强图像。

The computational load in Matching Pursuit (MP) of images is very huge, and this is the main drawback with MP of images. In this paper, a new fast algorithm is presented to speed up MP of images. Energy distribution of atoms used in MP is studied and most of computational loads can therefore be avoided by making use of the atom energy property. Experimental results show that the MP algorithm developed according to this property is many times faster than the conventional MP method and at the same time the quality...

The computational load in Matching Pursuit (MP) of images is very huge, and this is the main drawback with MP of images. In this paper, a new fast algorithm is presented to speed up MP of images. Energy distribution of atoms used in MP is studied and most of computational loads can therefore be avoided by making use of the atom energy property. Experimental results show that the MP algorithm developed according to this property is many times faster than the conventional MP method and at the same time the quality of reconstructed images by the new algorithm is as good as by the conventional MP method.

稀疏分解在图像处理中应用的关键障碍之一是图像稀疏分解速度十分缓慢。针对这一问题,提出了一种新的图像稀疏分解的匹配追踪快速算法。研究了图像稀疏分解中使用的原子的能量分布特性,根据原子能量的分布特性,图像匹配追踪中的绝大部分的计算可以省略,因而极大地提高了图像匹配追踪的计算速度。实验结果表明,新的算法比传统的图像匹配追踪算法速度提高了许多倍,而恢复图像的质量没有任何的降低。

The model referring to Human Visual System and wavelet image energy distribution character,utilizes the multi-resolution of wavelet image to get edge character.The wavelet-image is added to watermark information.Which is good to hide watermark.

利用图像的小波变换获得的图像边缘特征信息,参考人类视觉系统(HVS)模型和小波图像的能量分布特性,将水印信息按小波图像的局部边缘特性,将水印信息嵌入到图像中,从而有效地隐藏水印。

 
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