Compressive Sensing for Image
Compression and Recovery
References
The development of the project is based on previous work done on the field. Some of the most important sources of knowledge are presented in the following list.
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E J Candes, J Romberg, and T Tao. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information, 2006
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E J Candes and M B Wakin. An Introduction To Compressive Sampling, 2008
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J A Tropp and S J Wright. Computational Methods for Sparse Solution of Linear Inverse Problems, 2010
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Thomas Blumensath and Mike E Davies. Iterative thresholding for sparse approximations. Journal of Fourier Analysis and Applications, 14(5-6):629–654, 2008
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Thomas Blumensath and Mike E Davies. Iterative hard thresholding for compressed sensing. Applied and Computational Harmonic Analysis, 27(3):265–274, November 2009
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J.L.V.M. Stanislaus and T Mohsenin. Low-complexity FPGA implementation of compressive sensing reconstruction, 2013
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J.L.V.M. Stanislaus and T Mohsenin. High performance compressive sensing reconstruction hardware with QRD process, 2012
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H Rabah, A Amira, B K Mohanty, S Almaadeed, and P K Meher. FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction, 2014
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Aggoun, A.; Jalloh, I., Two-dimensional DCT/IDCT architecture, Computers and Digital Techniques, IEE Proceedings - , vol.150, no.1, pp.2,10, 20 Jan. 2003
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El Aakif, M.; Belkouch, S.; Hassani, M.M., An efficient pipelined fast and multiplier-less 2-D IDCT for image/video decoding, Multimedia Computing and Systems (ICMCS), 2011 International Conference on , vol., no., pp.1,5, 7-9 April 2011
Tools
To implement and test the system, several software and hardware tools were needed.
Software
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Matlab
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Vivado Design Suite
Hardware
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Xilinx Zynq-7000 ZC706
© 2015 by João Martins.