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Noise Reduction in Support-Constrained Multi-Frame Blind-Deconvolution Restoration as a Function of the Number of Data Frames and the Support Constraint Sizes

机译：作为数据帧数和支持约束大小的函数的支持约束多帧盲解卷积恢复中的降噪

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摘要

We show that the amount of relative noise reduction in multi-frame blind deconvolution image restorations is greatest for just a few data frames and is a more complicated function of the support constraint sizes.

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作者
Matson, C. L.; Haji, A.;
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年度 2007
页码 p.1-5
总页数 5
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Image reconstruction; Image restoration; Noise reduction; Augmentation; Convolution; Reprints; Data processing; Algorithms; Frames;

机译：图像重建;图像恢复;降噪;增强;卷积;重印;数据处理;算法;帧;

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2. Reduction of speckle noise from optical coherence tomography images using multi-frame weighted nuclear norm minimization method [J] . Thapa Damber, Raahemifar Kaamran, Lakshminarayanan Vasudevan Journal of Modern Optics . 2015,第21期

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3. A Multi-Frame Approach to the Frequency-Domain Single-Channel Noise Reduction Problem [J] . Huang Y.A., Benesty J. Audio, Speech, and Language Processing, IEEE Transactions on . 2012,第4期

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4. Cramer-Rao lower bounds for support-constrained and pixel-based multi-frame blind deconvolution [C] . Charles L. Matson, Alim Haji Image and Signal Processing for Remote Sensing XII . 2006

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6. Unsupervised Moving Object Segmentation from Stationary or Moving Camera Based on Multi-frame Homography Constraints [O] . Zhigao Cui, Ke Jiang, Tao Wang 2019

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7. Image resampling and constraint formulation for multi-frame super-resolution restoration [O] . Sean Borman, Robert L. Stevenson A 2003

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Noise Reduction in Support-Constrained Multi-Frame Blind-Deconvolution Restoration as a Function of the Number of Data Frames and the Support Constraint Sizes

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