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pd
- Fast Algorithms for Phase Diversity-Based Blind Deconvolution
Sparse Aperture Radar Imaging.pdf
- The paper is organized as follows; problem formulation, sparse imaging of scattering centers, deconvolution methods, interpolation with radial basis functions, and concluding remarks.
high-order-deconvlution
- 利用高阶谱进行系统辨识，估计得到点扩散函数，然后再进行傅域或小波域的解卷处理。由此得到的超声图像，分辨率大大提高了。-System identification using higher order spectrum, is estimated to be the point spread function, and then for Fu domain or wavelet domain deconvolution processing. The resulting ultrasound im
A-Bayesian-Approach
- In this paper, we propose a Bayesian methodology for receiver function analysis, a key tool in determining the deep structure of the Earth’s crust.We exploit the assumption of sparsity for receiver functions to develop a Bayesian deconvolution
reconvlove
- 感应测井的电导率反演方法，原理加实现，简明清晰-Deconvolution of induction logging
s_create_spike
- create spike from deconvolution
1
- 该文章用反卷积算法计算GSM和UMTS基站的电磁场辐射量，此方法可以消除噪声的影响，使得测量结果更精确。-In this paper, we present a new robust, fast, and accu- rate deconvolution algorithm for correcting noise disturbed mea- surements and eliminating the influence of the resolution filter of a
Deblur.rar
- 有关运动去模糊的最新算法。 采用kernel estimate，用变参数的deconvolution实现更好的运动模糊去除,A new algorithm for motion deblurring
2011_7_1_49_56
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
859398
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00913592
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00941854
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
01262011
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
baker_simon_1999_3
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
pxc3876788
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
Blind-Deconvolution-Algorithm
- Project on Image Restoration
GENERATION-OF-INCOHERENT-GROUND-MOTIONS-FOR-SSI-a
- This paper aims to present a new method for generating incoherent seismic ground motions on the basis of the stochastic deconvolution technique and the spectral representation method. The generated free field motion satisfies the imposed statisti
SC_Gabor_Con
- 地表一致性Gabor反褶积，提高地震横向分辨率的一种关键技术-Gabor surface consistency deconvolution, a key technology to improve the seismic lateral resolution
Blind-Image-Deconvolution---Aron-Liu
- 关于图像盲反卷积的一篇文章，对于想要对该方面有所了解的初学者，有很大的帮助。-About Blind deconvolution of an article, who want to understand this aspect of the beginners, there are a great help.
Blind-deconvolution-program
- 基于最佳维纳滤波器的盲解卷积算法,包括算法原理，代码和实验结果！-Based on the best Wiener filter blind deconvolution algorithm, including the algorithm principle, code and experimental results!