Volume 38 Issue 2
Mar.  2018
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FAN Bin, YU Qifeng. Design and Implementation of an Automatic Image Enhancement Algorithm Based on FPGAormalsize[J]. Journal of Space Science, 2018, 38(2): 261-270. doi: 10.11728/cjss2018.02.261
Citation: FAN Bin, YU Qifeng. Design and Implementation of an Automatic Image Enhancement Algorithm Based on FPGAormalsize[J]. Journal of Space Science, 2018, 38(2): 261-270. doi: 10.11728/cjss2018.02.261

Design and Implementation of an Automatic Image Enhancement Algorithm Based on FPGAormalsize

doi: 10.11728/cjss2018.02.261
  • Received Date: 2017-07-03
  • Rev Recd Date: 2017-12-17
  • Publish Date: 2018-03-15
  • Since there are many too dark or too bright areas in pictures that shot in the space, the corresponding images are uneven distributed, and the image quality is damaged. How to improve the processing speed of the algorithm and how to implement the algorithm by the embedded system are also key problems for space application. In this paper, the automatic image enhancement algorithm which is suitable to be implemented by the FPGA is proposed to solve these problems. The basis of the proposed algorithm is the piecewise linear transformation algorithm. In practical, firstly, the K-means clustering is used to segment the histogram into several sections automatically. Secondly, the quantitative relationship between the histogram distribution and the coefficients of the piecewise linear function is established. As a result, the coefficients can be automatically calculated. Thirdly, the corresponding FPGA system is implemented. And the high-performance parallel pipelined technology is used to ensure the real-time processing ability of the system. The simulations and the experimentations show that the proposed FPGA system is characterized as real-time processing ability and good adaptability. It can achieve good processing effects for different sceneries, and can be used in various practical applications.


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