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Single Image Super Resolution from Compressive Samples Using Two Level Sparsity Based Reconstruction

机译：基于两级稀疏性的压缩样本的单图像超分辨率

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Nath Aneesh G.; Nair Madhu S.; Rajan Jeny;
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年度 2015
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1. Single Image Super Resolution from Compressive Samples Using Two Level Sparsity Based Reconstruction [J] . Aneesh G. Nath, Madhu S. Nair, Jeny Rajan Procedia Computer Science . 2015,第1期

机译：基于二级稀疏性的压缩样本的单图像超分辨率重建
2. Single Image Super Resolution from Compressive Samples Using Two Level Sparsity Based Reconstruction [J] . Aneesh G. Nath, Madhu S. Nair, Jeny Rajan Procedia Computer Science . 2015,第1期

机译：基于二级稀疏性的压缩样本的单图像超分辨率重建
3. Compressive Sampling based Single-Image Super-resolution Reconstruction by dual-sparsity and Non-local Similarity Regularizer [J] . Shuyuan Yang, Min Wang, Yaxin Sun, Pattern recognition letters . 2012,第9期

机译：基于双稀疏和非局部相似性正则化器的基于压缩采样的单图像超分辨率重建
4. Single Image Super Resolution from Compressive Samples using Two Level Sparsity based Reconstruction [C] . Aneesh G. Nath, Madhu S. Nair, Jeny Rajan International Conference on Information and Communication Technologies . 2015

机译：使用基于两个水平稀疏性的重建从压缩样品中的单图像超分辨率
5. Zoom-based super-resolution image reconstruction from images with different orientations [D] . Jayasooriya, Chandana K. K. 2006

机译：从不同方向的图像基于缩放的超分辨率图像重建
6. Reconstruction of super-resolution STORM images using compressed sensing based on low-resolution raw images and interpolation [O] . Tao Cheng, Danni Chen, Bin Yu, 2017

机译：基于低分辨率原始图像和插值的压缩感测重建超分辨率STORM图像
7. Reconstruction of Laser Ultrasonic Wavefield Images from Reduced Sparse Measurements Using Compressed Sensing Aided Super-resolution [O] . Park, Byeongjin, Sohn, Hoon 2016

机译：使用压缩传感辅助超分辨率从减少的稀疏测量中重建激光超声波场图像
8. Comprehensive Non-Destructive Conservation Documentation of Lunar Samples Using High-Resolution Image-Based 3D Reconstructions and X-Ray CT Data. [R] . Blumenfeld, E. H., Evans, C. A., Oshel, E. R., 2015

机译：使用基于高分辨率图像的3D重建和X射线CT数据的月球样本的综合非破坏性保存文档。

Single Image Super Resolution from Compressive Samples Using Two Level Sparsity Based Reconstruction

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