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CMOS (complementary metal-oxide-semiconductor transistor) imaging measured value obtaining system based on compressed sensing and method thereof

A technology of imaging measurement and compressed sensing, which is applied to the components of TV systems, image communication, and color TV components, etc. It can solve the problems of high power consumption and reduced image acquisition efficiency, so as to reduce power consumption and shorten acquisition time , The effect of simple circuit structure

Inactive Publication Date: 2011-09-14
TIANJIN UNIV
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Problems solved by technology

Compared with the method proposed by R. Robucci et al., this method has the advantages of simple system implementation, good anti-noise performance and nonlinearity, but it uses a shift register to generate a pseudo-random code, and places a bit in each pixel storage unit, which requires an additional process flow, and this method needs to perform more shift operations when acquiring the measured value, thereby reducing the image acquisition efficiency and power consumption

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  • CMOS (complementary metal-oxide-semiconductor transistor) imaging measured value obtaining system based on compressed sensing and method thereof
  • CMOS (complementary metal-oxide-semiconductor transistor) imaging measured value obtaining system based on compressed sensing and method thereof
  • CMOS (complementary metal-oxide-semiconductor transistor) imaging measured value obtaining system based on compressed sensing and method thereof

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Embodiment Construction

[0023] figure 1 It is a schematic structural diagram of the CMOS imaging measurement value acquisition system based on compressed sensing of the present invention. The CMOS image perception sensor is used to provide the system with an analog pixel matrix. The system includes:

[0024] A linear feedback shift register LFSR is used to generate a pseudo-random sequence as a system input;

[0025] The shift register is used to push the generated pseudo-random sequence into it, and after N cycles, a random vector sequence with a length of N is generated in the shift register, and the random vector sequence with a length of N is transferred to the row Selector;

[0026] The row selector is used to store a random vector sequence with a length of N, and as a multiplier, realizes the multiplication calculation of each column of the analog pixel matrix provided by the CMOS image sensor and the random vector sequence with a length of N in parallel to obtain an analog pixel matrix The m...

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Abstract

The invention discloses a CMOS (complementary metal-oxide-semiconductor transistor) imaging measured value obtaining system based on compressed sensing and a method thereof. The system provides an analogue pixel matrix to the system by a CMOS image sensor and is characterized by comprising a linear feedback displacement register, a displacement register, a line selector, a multi-path selector and an analogue / digital converter. Compared with the prior art, the system has the characteristics of generality, encryption, robustness, scalability and the like of the imaging system based on compressed sensing, can shorten the measured value obtaining time and effectively reduce the power consumption of the sensor in comparison with a CMOS imaging system based on random convolution, and has simple structure and is easy to implement in comparison with other imaging systems based on compressed sensing; moreover, the system effectively shortens the measured value obtaining time on the basis of a parallel processing idea, and remarkably reduces the power consumption of the CMOS image sensor.

Description

technical field [0001] The invention relates to the technical field of image signal processing, in particular to a CMOS imaging measurement value acquisition system and method in the compressed imaging field. Background technique [0002] Compressive sensing (compressive sensing, CS) is a new research field proposed in recent years. It is based on the sparse representation and approximation theory of signals, and makes full use of the sparse characteristics of signal structures. Uncorrelated measurements of data enable perception of high-dimensional sparse signals. It breaks through the limitations of the Nyquist sampling theorem, and simultaneously performs signal sampling and compression, making low-sampling and high-resolution signal reconstruction possible. Compressive sensing theory has brought about a revolution in signal acquisition theory, and has broad application prospects in the fields of compressed imaging, analog information conversion, medical image processing...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/374
CPCH04N25/00
Inventor 张淑芳瞿广财徐江涛李凯
Owner TIANJIN UNIV
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