壓縮感知參考文獻

 

壓縮感知（Compressed sensing），也被稱爲壓縮採樣或稀疏採樣，是一種利用稀疏的或可壓縮的信號進行信號重建的技術。這一方法至少已經存在了四十年，由於David Donoho、Emmanuel Candes、Justin Romberg和陶哲軒的工作，最近這個領域有了長足的發展。

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壓縮傳感基礎理論

• Emmanuel Candès, Compressive sampling. (Int. Congress of Mathematics, 3, pp. 1433-1452, Madrid, Spain, 2006)
• Richard Baraniuk, Compressive sensing. (IEEE Signal Processing Magazine, 24(4), pp. 118-121, July 2007)
• Emmanuel Candès and Michael Wakin, An introduction to compressive sampling. (IEEE Signal Processing Magazine, 25(2), pp. 21 - 30, March 2008) [High-resolution version]
• Justin Romberg, Imaging via compressive sampling. (IEEE Signal Processing Magazine, 25(2), pp. 14 - 20, March 2008)

壓縮感知重構算法

• Joel Tropp and Anna Gilbert, Signal recovery from random measurements via orthogonal matching pursuit. (IEEE Trans. on Information Theory, 53(12) pp. 4655-4666, December 2007)
• David Donoho and Yaakov Tsaig, Fast solution of ell-1-norm minimization problems when the solution may be sparse. (Stanford University Department of Statistics Technical Report 2006-18, 2006)
• Mário A. T. Figueiredo, Robert D. Nowak, and Stephen J. Wright, Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems. (IEEE Journal of Selected Topics in Signal Processing: Special Issue on Convex Optimization Methods for Signal Processing, 1(4), pp. 586-598, 2007)
• Karen Egiazarian, Alessandro Foi, and Vladimir Katkovnik, Compressed sensing image reconstruction via recursive spatially adaptive filtering. (Preprint, 2007)

壓縮傳感應用（Applications of Compressive Sensing）

圖像壓縮（Compressive Imaging）

• Marco Duarte, Mark Davenport, Dharmpal Takhar, Jason Laska, Ting Sun, Kevin Kelly, and Richard Baraniuk,Single-pixel imaging via compressive sampling. (IEEE Signal Processing Magazine, 25(2), pp. 83 - 91, March 2008)
• Michael Wakin, Jason Laska, Marco Duarte, Dror Baron, Shriram Sarvotham, Dharmpal Takhar, Kevin Kelly, and Richard Baraniuk,An architecture for compressive imaging. (Int. Conf. on Image Processing (ICIP), Atlanta, Georgia, October 2006)
• Michael Wakin, Jason Laska, Marco Duarte, Dror Baron, Shriram Sarvotham, Dharmpal Takhar, Kevin Kelly, and Richard Baraniuk,Compressive imaging for video representation and coding. (Proc. Picture Coding Symposium (PCS), Beijing, China, April 2006)
• Dharmpal Takhar, Jason Laska, Michael Wakin, Marco Duarte, Dror Baron, Shriram Sarvotham, Kevin Kelly, and Richard Baraniuk,A new compressive imaging camera architecture using optical-domain compression. (Computational Imaging IV at SPIE Electronic Imaging, San Jose, California, January 2006)
• J. Haupt and R. Nowak, Compressive sampling vs conventional imaging. (Int. Conf. on Image Processing (ICIP), Atlanta, Georgia, October 2006)
• Ray Maleh, Anna Gilbert, and Martin Strauss, Sparse gradient image reconstruction done faster. (IEEE Conf. on Image Processing (ICIP), San Antonio, Texas, September 2007)
• Karen Egiazarian, Alessandro Foi, and Vladimir Katkovnik, Compressed sensing image reconstruction via recursive spatially adaptive filtering. (IEEE Conf. on Image Processing (ICIP), San Antonio, Texas, September 2007)
• Lu Gan, Thong Do, Trac D. Tran, Fast compressive imaging using scrambled block Hadamard ensemble. (Preprint, 2008)
• V. Stankovic, L. Stankovic, and S. Cheng, Compressive video sampling. (European Signal Processing Conf. (EUSIPCO), Lausanne, Switzerland, August 2008)
• Roummel Marcia and Rebecca Willett, Compressive coded aperture video reconstruction. (European Signal Processing Conf. (EUSIPCO), Lausanne, Switzerland, August 2008)
• Volkan Cevher, Aswin Sankaranarayanan, Marco Duarte, Dikpal Reddy, Richard Baraniuk, and Rama Chellappa,Compressive sensing for background subtraction. (European Conf. on Computer Vision (ECCV), Marseille, France, October 2008)
• Pradeep Nagesh and Baoxin Li, Compressive Imaging of Color Images. (Preprint: IEEE Intl. Conf. on Acoustic, Speech & Signal Processing (ICASSP), Taipei, Taiwan, 2009).
• Roummel Marcia, Zachary Harmany, Rebecca Willett, Compressive Coded Aperture Imaging. (SPIE Electronic Imaging, 2009).
• M.B. Wakin, A Manifold Lifting Algorithm for Multi-View Compressive Imaging. (Picture Coding Symposium (PCS), Chicago, Illinois, May 2009)
• J.Y. Park and M.B. Wakin, A Multiscale Framework for Compressive Sensing of Video. (Picture Coding Symposium (PCS), Chicago, Illinois, May 2009)

Medical Imaging

• Michael Lustig, David Donoho, and John M. Pauly, Sparse MRI: The application of compressed sensing for rapid MR imaging. (Magnetic Resonance in Medicine, 58(6) pp. 1182 - 1195, December 2007) [See also related conference publication:ISMRM 2006, SPARS 2005, ISMRM 2005]
• M. Lustig, J. M. Santos, D. L. Donoho, and J. M. Pauly, k-t SPARSE: High frame rate dynamic MRI exploiting spatio-temporal sparsity. (ISMRM, Seattle, Washington, May 2006)
• Hong Jung, Jong Chul Ye, and Eung Yeop Kim, Improved k-t BLASK and k-t SENSE using FOCUSS. (Phys. Med. Biol., 52 pp. 3201 - 3226, 2007)
• Jong Chul Ye, Compressed sensing shape estimation of star-shaped objects in Fourier imaging. (Preprint, 2007)
• Joshua Trzasko, Armando Manduca, and Eric Borisch, Highly undersampled magnetic resonance image reconstruction via homotopic ell-0-minimization. (IEEE Trans. Medical Imaging 28(1): 106-121, 2009) [See also related conference publication:SSP 2007]
• I.F. Gorodnitsky, J. George and B.D. Rao, Neuromagnetic source imaging with FOCUSS: A recursive weighted minimum norm algorithm. (Electrocephalography and Clinical Neurophysiology, 95, pp. 231 - 251, 1995)
• Simon Hu, Michael Lustig, Albert P. Chen, Jason Crane, Adam Kerr, Douglas A.C. Kelley, Ralph Hurd, John Kurhanewicz, Sarah J. Nelsona, John M. Pauly and Daniel B. Vigneron,Compressed sensing for resolution enhancement of hyperpolarized 13C flyback 3D-MRSI. (Journal of Magnetic Resonance, 192(2), pp. 258 - 264, June 2008)
• T. Cukur, M. Lustig, and D.G. Nishimura, Improving non-contrast-enhanced steady-state free precession angiography with compressed sensing. (Preprint, 2008)
• Hong Jung, Kyunghyun Sung, Krishna S. Nayak, Eung Yeop Kim, and Jong Chul Ye,k-t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI. (Magnetic Resonance in Medicine, 61:103–116, 2009)
• Justin Haldar, Diego Hernando, and Zhi-Pei Liang, Compressed sensing in MRI with non-Fourier encoding. (Preprint, 2008)
• Chenlu Qiu, Wei Lu and Namrata Vaswani, Real-time Dynamic MR Image Reconstruction using Kalman Filtered Compressed Sensing. (IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, April 2009)
• Hengyong Yu and Ge Wang, Compressed sensing based interior tomography. (Physics in Medicine and Biology, 54 (2009) 2791–2805)
• Yoon-Chul Kim, Shrikanth S. Narayanan, Krishna S. Nayak, Accelerated Three-Dimensional Upper Airway MRI Using Compressed Sensing. (Magnetic Resonance in Medicine, 61:1434–1440, 2009)
• Joshua Trzasko, Clifton Haider, Armando Manduca, Practical Nonconvex Compressive Sensing Reconstruction of Highly-Accelerated 3D Paralllel MR Angiograms. (Proc. of the IEEE International Symposium on Biomedical Imaging, p.1349, June 2009)
• Yujie Lu, Xiaoqun Zhang, Ali Douraghy, David Stout, Jie Tian, Tony F. Chan, Arion F. Chatziioannou,Source Reconstruction for Spectrally-resolved Bioluminescence Tomography with Sparse A priori Information. (Optics Express 17, 8062-8080, 2009)
• Rick Chartrand, Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data. (IEEE International Symposium on Biomedical Imaging (ISBI), June 2009)
• H. Jung, J. S. Park, J. H. Yoo, J. C. Ye, Radial k-t FOCUSS for High-Resolution Cardiac Cine Magnetic Resonance Imaging. (In press, Magn. Reson. Med., 2009)
• J. Y. Choi, M. W. Kim, W. Seong, J. C. Ye, Compressed sensing metal artifact removal in dental CT. (Proc. IEEE International Symposium on Biomedical Imaging (ISBI), pp. 334-337, June 28–July 1, 2009, Boston, USA)
• H. Jung, J. C. Ye, Performance evalution of accelerated functional MRI acquisition using compressed sensing. (Proc. IEEE International Symposium on Biomedical Imaging (ISBI), pp. 702-705, June 28-July 1, 2009, Boston, USA)
• J. Provost, F. Lesage, The application of compressed sensing for photo-acoustic tomography. (IEEE Trans Med Imaging, 28(4):585-94, April 2009)
• Wei Lu, Namrata Vaswani, Modified Compressive Sensing for Real-time Dynamic MR Imaging. (IEEE international conference on Image Processing 2009)