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残差图像
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  residual image
     Stereo residual image coding based on Markov model and wavelet transform
     基于马尔可夫模型和小波变换的立体残差图像编码
短句来源
     ROI Coding Research Based on Residual Image
     基于残差图像的ROI编码研究
短句来源
     A Distortion Model Based on the Distribution of Residual Image
     一种基于残差图像分布的失真度模型
短句来源
     After analyzed the statistical characteristics of disparity and residual image, a new coding scheme of disparity compensated difference based on wavelet transform(WDCD) is presented.
     并在分析了视差和残差图像的统计特性后,提出了一个基于小波变换的视差补偿残差(WDCD)的编码方案。
短句来源
     Triangular mesh model-based video coding: motion estimation, compensation and residual image processing
     三角形网格基活动图像编码研究——运动估计、运动补偿和残差图像处理
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  residue image
     Unlike MAXSHIFT algorithm of JPEG2000,by combining coding and embedded zerotree wavelet(EZW),a novel regions of interest(ROI) algorithm based on residue image called RZ was presented in this paper.
     与 JPEG2 0 0 0中的 MAXSHIFT算法不同 ,本文将 ROI编码与零树编码结合 ,给出一种基于残差图像的 ROI编码算法 RZ (residue zerotree)。
短句来源
  “残差图像”译为未确定词的双语例句
     Simulation results show that the proposed scheme achieve higher PSNR, about 0.58dB, as well as better perceptual quality, as compared to a DCT-based coding scheme, at the same bit rate of 0.23bpp.
     仿真实验结果表明,在比特率为0.23bit/pel时,本文的方案重构的残差图像的信噪比(PSNR)和基于DCT的编码方案相比,要高0.58dB。
短句来源
     The S+P transform was then applied to the difference image to realize spatial decorrelation. Finally,the improved SPIHT was used to realize high-performance lossless encoding. Experimental results showed obvious effects and also its potential in remote sensing image compression.
     首先利用基于地物反射特性的方法去除谱间相关性 ,再对残差图像采用S +P变换去除空间相关性 ,然后 ,利用改进的分级树的集合划分 (SPIHT)方法 ,实现遥感图像的高效无损编码 ,实验表明本方法能取得满意的结果 ,显示了本方法在多波段遥感图像压缩中的潜力 .
短句来源
     This scheme restores the high-resolution residual errors for multispectral images by fusing the high-resolution residual error extracted from panchromatic image and the low-resolution residual errors extracted from multispectral images based on principal component analysis(PCA).
     该方法借助于主成分分析(principal component analysis,PCA),通过对多光谱图像的残差图像和全色图像的残差图像进行融合来恢复出多光谱图像的高分辨率残差图像,以实现多光谱图像和全色图像的融合。
短句来源
     As to spectral decorrelated difference image and the so-called Original Frame of multispectral remote sensing image, the S+P transform was adopted for spatial decorrelation.
     对于去除谱间相关的残差图像,采用S+ P变换,以去除空间相关。
短句来源
     Firstly, gray document image is decomposed into a black white image and a residual gray image with thresholding and differencing algorithm, then the decomposed ones are compressed using JBIG and LZW.
     该方案充分考虑灰度文本图像的特征,用阈值差分算法将灰度文本图像分解为黑白图像和灰度残差图像,然后采用JBIG(jointbi-levelimagegroup)和LZW(Lempel-Ziv-Welch)压缩算法分别对黑白图像和灰度残差图像进行压缩。
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  residual image
We have developed techniques for reducing corner glow and a method of clearing residual image charge.
      
The over-exposed filtergrams have been processed by a Joyce Loebl automated microdensitometer and the two-dimensional scans have been analysed by the residual image method.
      
The residual wavelet varies versus offset from the pumping well for a given residual image.
      
After 1 minute the decay of the residual image slows down and is described by c2 of 48 seconds.
      
A practical example of this background subtraction step and the properties of the residual image created are described in Section II.
      
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  residue image
Each residue image is sullied by a specific texture which grows bigger progressively when the pyramid goes far.
      
For the same subject, this residue image would have low energy because the motion of most pixels can be well modeled by the optical flow.
      
Thus, the low energy in the residue image can be a good criterion to authenticate faces.
      
The optical flow shown below captures most of its motion around facial features, and also the residue image has relatively small intensity.
      
The residue image gives information about the surface energy spectrum in relation to the dispersion equation.
      
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The spatial and spectral decorrelation are important steps to compress losslessly multispectral remote sensing image. At present, there are many methods to realize spatial and spectral decorrelation. But few of them is really effective. In this paper, we try to propose such an effective method in which the reflection properties of different objects in different bands were firstly analyzed using a wide-known classification scheme which called K-mean method. Then, for purpose of spectral decorrelation, the inter-band...

The spatial and spectral decorrelation are important steps to compress losslessly multispectral remote sensing image. At present, there are many methods to realize spatial and spectral decorrelation. But few of them is really effective. In this paper, we try to propose such an effective method in which the reflection properties of different objects in different bands were firstly analyzed using a wide-known classification scheme which called K-mean method. Then, for purpose of spectral decorrelation, the inter-band predictors corresponding to different objects were designed using the Central Band Vectors corresponding to different objects, which describe the reflection properties of different objects. As to spectral decorrelated difference image and the so-called Original Frame of multispectral remote sensing image, the S+P transform was adopted for spatial decorrelation. The satisfactory results which showed effect of this method were obtained .

要实现多波段遥感图像的无损压缩,去除空间和谱间的相关性是其中的重要环节。通过分类,分析不同地物在不同波段的反射特性,再根据不同地物的波段反射特性构造出针对不同地物的谱间预测器,用以去除谱间相关性。对于去除谱间相关的残差图像,采用S+ P变换,以去除空间相关。实验取得了令人满意的效果,证明了这种方法的有效性。

First,the decorrelation method based on the object reflection properties of the same object was used to reduce the spectral correlation.The S+P transform was then applied to the difference image to realize spatial decorrelation.Finally,the improved SPIHT was used to realize high-performance lossless encoding.Experimental results showed obvious effects and also its potential in remote sensing image compression.

首先利用基于地物反射特性的方法去除谱间相关性 ,再对残差图像采用S +P变换去除空间相关性 ,然后 ,利用改进的分级树的集合划分 (SPIHT)方法 ,实现遥感图像的高效无损编码 ,实验表明本方法能取得满意的结果 ,显示了本方法在多波段遥感图像压缩中的潜力 .

First, the reflection properties of the same object in different bands are obtained by using classification. Then the inter-band predi ctors are designed to reduce the inter-band correlation. The S+P transform is applied to the difference image to realize spatial decorrelation. Fina lly, the improved SPIHT is used to realize high-performance lossless encoding. Experimental results show obvious effects and its potential in remote se nsing image compression.

首先利用分类的方法 ,得到同一地物在不同波段的光谱反射特性 ,在此基础上构造谱间预测器 ,去除谱间相关性 ,再对残差图像采用 S+ P变换去除空间相关性。然后 ,利用改进的分级树的集合划分 (SPIHT)方法 ,实现遥感图像的高效无损编码 ,实验表明本方法能取得满意的结果 ,显示了本方法在多波段遥感图像压缩中的潜力

 
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