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year 27, Issue 2 (ICOP & ICPET 2021 2021)
ICOP & ICPET _ INPC _ ICOFS 2021, 27(2): 416-419 |
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Afkhami Ardakani N, Jafarfard M R. Investigate the methods of minimizing compressed measurement in image reconstruction. ICOP & ICPET _ INPC _ ICOFS 2021; 27 (2) :416-419
URL: http://opsi.ir/article-1-2392-en.html
URL: http://opsi.ir/article-1-2392-en.html
1- Departman Physic, Iran University Science and Technology, Narmak, Tehran
Abstract: (811 Views)
According to the Nyquist sampling theorem, to avoid losing information for reconstruction a signal, the rate of capturing must be at least two times faster than the signal bandwidth. In many cases, measurement device are not capable to sample close to the Nyquist rate. Recently, a new method has been introduced that capture and represent compressible signals at a rate significantly below the Nyquist rate. This method, called Compressive Sensing (CS), employs nonadaptive linear projections that preserve the structure of the signal. The signal is then reconstructed from these projections using an optimization process. In this paper we introduce the optimization three methods (Least square, Basis Pursuit, TwIST) and compare the result of recovering signal for an arbitrary image.
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