FPGA + DSP-Based Real-Time Image Acquisition System Research and Design

Su Ran Kong

doi:10.4028/www.scientific.net/AMR.433-440.5482

Paper Titles

The Two Step Mutation Evolutionary Programming Using in Image Segmentation
p.5459

A New Algorithm to Exposing Image Forgeries by Detecting Ambient Illumination Consistency
p.5463

The Application on the Forecast of Plant Disease Based on an Improved BP Neural Network
p.5469

Study on Process Integration of Collaborative Commodity Design
p.5477

FPGA + DSP-Based Real-Time Image Acquisition System Research and Design
p.5482

Simulation and Evaluation of Specific Absorption Rate in Human Body in High Frequency Electromagnetic Fields
p.5489

The Study on Evolvable Electrical Circuit Design Based on FPGA
p.5494

Design and Implementation of E-Commerce System Based on SOA
p.5500

On Capacity of 60GHz TH-PPM Systems in Frequency Selective Fading Channels
p.5506

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440FPGA + DSP-Based Real-Time Image Acquisition...

FPGA + DSP-Based Real-Time Image Acquisition System Research and Design

Abstract:

Image processing system to calculate the volume, real-time high and the requirements of small size, using the DSP-based processor, FPGA approach, supplemented by the processor design of a high-performance real-time image processing system, and the system In the process of image acquisition and transmission of noise, using the PCB's anti-jamming design. Practice shows that two chips using FPGA + DSP, the algorithm is divided into two parts by the FPGA and DSP processing; effectively improve the efficiency of the algorithm. System real-time high, adaptability, real-time image acquisition system can meet the design requirements.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

5482-5488

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.5482

Citation:

Cite this paper

Online since:

January 2012

Authors:

Su Ran Kong

Keywords:

Digital Signal Processor (DSP), Field-Programmable Gate Array (FPGA), Image Processing, Interference, PCB

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Pan W, Zhang X X, Luo B, and et all. Circuit-level Model of Photo electricity Response in Ferroelectric Liquid Crystal, Acta Electron, Papers 30(5), 708-710 (2002).

Google Scholar

[2] Robertson M.A., Borman S., Stevenson R.L., Estimation-theoretic approach to dynamic range enhancement using multiple exposures, Journal of Electronic Imaging, Papers 12(2), 219-228 (2003).

DOI: 10.1117/1.1557695

Google Scholar

[3] William K. Pratt. Machine vision methods for automatic defect detection in liquid crystal displays, Advanced Imaging, Papers 13(4), 53-54 (1998).

Google Scholar

[4] Gu Xiao, et al., The Development and Application of CMOS Image Sensor Technology, Science Technology and Engineering, Papers 4(12), 1035-1040 (2004).

Google Scholar

[5] Karasev, Vladimir I, Kuznetsov Yuri A, Shilin Victor A. Charge-coupled device and CCD systems, Proc. SPIE 2790, 140-145 (1996).

Google Scholar

[6] Denyer P, Hurwitz J E, Baxter D J, et al., 800k pixel CMOS Sensor for Consumer Still Cameras Solid-State Sensor Arrays: Development and Applications, Proc. SPIE 3019, 115-124 (1997).

DOI: 10.1117/12.275168

Google Scholar

[7] http: /www. jcst. cn/chanpin/digital/minilab. html.

Google Scholar

[8] http: /www. fujifilm. com. cn/en/ena-tech2. htm.

Google Scholar

[9] Kubo, N., Takemura, K., Adachi, K, et. Al., Super-dynamic-range image processing system using a new structure CCD, Proc. SPIE 5301, 303-310 (2004).

Google Scholar

[10] Wang J. G, Liu Y., A method of Automatic White Balance using Fuzzy Logic, APCCAS, Papers 12, 615-617 (2000).

Google Scholar

[11] Raveh l, Medlovic D, Zalevsky, et al., Digital Method for Defocus Corrections: Experimental Result, Optical Engineering, Papers 38(10), 1620-1626 (1999).

DOI: 10.1117/1.602215

Google Scholar