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Image flow time sampling
Němec, Miroslav ; Kolář, Radim (referee) ; Drastich, Aleš (advisor)
The aim of this Master’s thesis is to develop a theoretical introduction to the issue of the image flow time sampling, taking into account the various factors that affect sampling. Furthermore, there is proposed idea diagram of the model, which will simulate the events described, and created the model in the programming environment Matlab. Finally, there are defined the labs that will support teaching dealing with the imaging systems.
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Compressive sampling and simulation of one-pixel camera
Hrbáček, Radek ; Špiřík, Jan (referee) ; Rajmic, Pavel (advisor)
The Nyquist theorem is the main pillar of the traditional digital signal processing approach. It states that the sampling rate must be at least twice the maximum frequency present in the signal to guarantee perfect signal reconstruction from the sequence of its samples. In practice, we often compress the signal right after the sampling process to reduce the data size. The compressive sampling approach is not limited to the frequency domain, it provides a new look at the signal by using an arbitrary basis. If we find a basis in which the signal is sparse, it is possible to take a small number of samples and reconstruct the signal successfully. One-pixel camera is one of real applications, it's formed by digital micromirror array reflexing the light into single sensor. Mathematical methods are then used to reconstruct the signal. This thesis deals with the simulation of the camera.
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Compressive sampling and simulation of one-pixel camera
Hrbáček, Radek ; Špiřík, Jan (referee) ; Rajmic, Pavel (advisor)
The Nyquist theorem is the main pillar of the traditional digital signal processing approach. It states that the sampling rate must be at least twice the maximum frequency present in the signal to guarantee perfect signal reconstruction from the sequence of its samples. In practice, we often compress the signal right after the sampling process to reduce the data size. The compressive sampling approach is not limited to the frequency domain, it provides a new look at the signal by using an arbitrary basis. If we find a basis in which the signal is sparse, it is possible to take a small number of samples and reconstruct the signal successfully. One-pixel camera is one of real applications, it's formed by digital micromirror array reflexing the light into single sensor. Mathematical methods are then used to reconstruct the signal. This thesis deals with the simulation of the camera.
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|
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Image flow time sampling
Němec, Miroslav ; Kolář, Radim (referee) ; Drastich, Aleš (advisor)
The aim of this Master’s thesis is to develop a theoretical introduction to the issue of the image flow time sampling, taking into account the various factors that affect sampling. Furthermore, there is proposed idea diagram of the model, which will simulate the events described, and created the model in the programming environment Matlab. Finally, there are defined the labs that will support teaching dealing with the imaging systems.
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