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超分辨率处理
相关语句
  super-resolution processing
     An Aliasing Degree Pre-Estimated MAP Algorithm of Super-Resolution Processing
     预估计混叠度的MAP超分辨率处理算法
短句来源
     In this paper, a sort of aliasing degree pre-estimated MAP (maximum a posteriori) algorithm, PEMAP, is proposed. It is used in super-resolution processing of satellite images on the ground.
     提出一种预估计混叠度的PEMAP(pre-estimated MAP (maximum a posteriori))算法,用于卫星图像的地面超分辨率处理.
短句来源
     Estimating the Sufficient Number of Low-Resolution Images for Super-Resolution Processing
     图像序列超分辨率处理中充分帧数的估计
短句来源
     In aspect of super-resolution processing, the paper analyses model algorithms and ascertains algorithms our use.
     在超分辨率处理的算法方面,分析典型算法并确定了使用的算法;
短句来源
     In order to enhance the remote sensing image with super-resolution in real-time offline, this paper designs an image super-resolution processing system based on FPGA and DSP. In this system, video is degressively sampled by FPGA in the part of pretreatment and two classical algorithms are hardware-enhanced with super-resolution by FPGA and DSP in the part of super-resolution processing.
     为了对遥感图像进行实时脱机的超分辨率增强处理,设计了一种基于现场可编程逻辑门阵列(FPGA)和数字信号处理器(DSP)的超分辨率图像处理系统,系统在视频预处理部分利用FPGA来实现对视频的降采样处理,在超分辨率处理部分分别用FPGA和DSP来完成对视频源的两种经典超分辨率算法的硬件实现。
短句来源
  “超分辨率处理”译为未确定词的双语例句
     Image Super Resolution Processing Algorithm Based on Kohonen Neural Network
     基于Kohonen神经网络的图像超分辨率处理算法
短句来源
     Superresolution of image sequences based on real-time frame iterative back-projection algorithm
     基于实时帧迭代反向投影算法的图像序列超分辨率处理
短句来源
     2. Two spatial domain SR processing algorithms are proposed: Real-time frame iterative back-projection algorithm (RFE3P) and modified Cimmino fast row action iterative algorithm.
     2.从空域的角度给出了两种图像超分辨率处理算法:基于帧迭代的反向投影法和改进的快速行处理迭代算法。
短句来源
     Performance Evaluation of Super-Resolution in Image Sequences
     图像序列超分辨率处理性能评估
短句来源
     SUPERRESOLUTION PROCESSING FOR ACOUSTIC HOLOGRAPHIC IMAGING
     声全息成象超分辨率处理
短句来源
更多       
  相似匹配句对
     SUPERRESOLUTION PROCESSING FOR ACOUSTIC HOLOGRAPHIC IMAGING
     声全息成象超分辨率处理
短句来源
     The High-speed Super-resolution Image Processing System
     高速超分辨率图像处理系统
短句来源
     Natural Language Processing
     自然语言处理
短句来源
     R. japoncnsis was treated as a variety under R.
     japonensis处理为R.
短句来源
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Superresolution processing for acoustic holographic imaging, which is based on the finite region of the object distribution and utilizes the relation between elements of holographic matrix from it, is proposed to increase the resolution of the imaging system. The calculating formulas are derived and knowledge of obtaing the object distribution in actual calculation is discussed. The iteration of the method can be applied to increase indefinitely the resolution of the imaging system when noise is absent. Simulation...

Superresolution processing for acoustic holographic imaging, which is based on the finite region of the object distribution and utilizes the relation between elements of holographic matrix from it, is proposed to increase the resolution of the imaging system. The calculating formulas are derived and knowledge of obtaing the object distribution in actual calculation is discussed. The iteration of the method can be applied to increase indefinitely the resolution of the imaging system when noise is absent. Simulation with a computer is made, which proves the validity (if the method. Finally, sensitivity of the method to noise is discussed, and the curves of output noise to signal ratio versus input noise to signal radio are given for some examples, which show that the method is particu-laly suitable to small object distribution.

本文提出一种声全息成象超分辨率处理方法,它利用物分布有限及由此导出的全息矩阵元素间联系,由已知的全息数据延拓得到扩大的全息数据,从而提高系统成象的分辨率。文中导出了超分辨率处理的计算公式,并讨论了实际计算中得到物分布先验知识的方法。还指出这种超分辨率处理方法可以迭代使用,从而在无噪声的情况下,从理论上能无限提高系统分辨率。作了计算机模拟计算,说明方法是有效的。最后讨论了处理方法对噪声的敏感问题,给出了一些情况下输入信噪比对输出信噪比的影响曲线,说明这方法适宜于物分布角范围较小的情况。

The paper proposes an algorithm used in image processing, combining wavelet transform and Bézier surface interpolation with Kohonen neural network. The image is implemented by super resolution processing, which can improve the image quality. First, the original image is regarded as low frequency part. Then Bézier surface interpolation are implemented to the high frequency sub band images after wavelet transform. Then, the high frequency sub band images after interpolation are implemented respectively by Kohonen...

The paper proposes an algorithm used in image processing, combining wavelet transform and Bézier surface interpolation with Kohonen neural network. The image is implemented by super resolution processing, which can improve the image quality. First, the original image is regarded as low frequency part. Then Bézier surface interpolation are implemented to the high frequency sub band images after wavelet transform. Then, the high frequency sub band images after interpolation are implemented respectively by Kohonen neural network algorithm to reconstruct three high frequency sub band images, which is approximate to details of higher frequency. Finally, an image with higher resolution is obtained by inverse wavelet transform. Experiments show that the proposed algorithm can improve image quality much more in comparison wich wavelet transform and Bézier surface interpolation algorithm.

提出一种小波变换、Bézier曲面插值和神经网络相结合的方法 ,并将该方法应用于图像处理中 ,对图像进行超分辨率处理 ,以提高图像质量 .首先将原图像作为低通部分 ,然后对小波分解后的相应高频子带进行 Bézier曲面插值 ,再对插值后的高频子带分别进行神经网络学习重建恢复各高频子带图像 ,以近似更高频的细节 ,最后通过小波逆变换获取比原图分辨率更高的图像 .模拟实验结果表明 :与小波插值方法相比 ,所提出的算法能进一步提高图像的质量和分辨率

In this paper, a sort of aliasing degree pre-estimated MAP (maximum a posteriori) algorithm, PEMAP, is proposed. It is used in super-resolution processing of satellite images on the ground. The aliasing degree of satellite images is firstly determined in frequency domain by spectrum analysis, and then used in a joint estimation of the registration parameters and high-resolution image in space domain as a priori information. This algorithm overcomes the blindness and instability of the MAP algorithm and improve...

In this paper, a sort of aliasing degree pre-estimated MAP (maximum a posteriori) algorithm, PEMAP, is proposed. It is used in super-resolution processing of satellite images on the ground. The aliasing degree of satellite images is firstly determined in frequency domain by spectrum analysis, and then used in a joint estimation of the registration parameters and high-resolution image in space domain as a priori information. This algorithm overcomes the blindness and instability of the MAP algorithm and improve its flexibility. Good results have been shown in a practical satellite image processing.

提出一种预估计混叠度的PEMAP(pre-estimated MAP (maximum a posteriori))算法,用于卫星图像的地面超分辨率处理.它通过频域分析确定卫星图像的混叠度,将其作为先验信息在空域控制MAP估计的循环迭代,联合估计帧间位移和高分辨率图像.该算法克服了最大后验概率MAP算法的盲目性和不稳定性,使其适应性更好.实际的卫星图像处理显示了较好的处理效果.

 
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