High Resolution Video Image Real-time Enhancement System Based on FPGA
[1]Liu Huajun,Zhang Ruijue,Liu Jianfeng,et al.High Resolution Video Image Real-time Enhancement System Based on FPGA[J].Journal of Zhengzhou University (Engineering Science),2020,41(02):19-24.[doi:10.13705/j.issn.1671-6833.2019.03.014]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
41
Number of periods:
2020 02
Page number:
19-24
Column:
Public date:
2020-05-31
- Title:
- High Resolution Video Image Real-time Enhancement System Based on FPGA
- Keywords:
- image defogging; video image; FPGA; real time; low power consumption
- CLC:
- -
- Abstract:
- Most defogging systems mainly focused on single image , lacking in stability and real-time perform-ance. Besides, the traditional image haze removal algorithm had high complexity and the histogram of brightarea was overexposed, it was difficult to be applied to real-time video image restoration. Facing this problems ,a 1080P full-hd video image real-time enhanced defogging system based on FPGA was designed and constructed. At first , the histogram statistics was conducted in RGB color space by using blocks and dividing the chan-nels. And then, the combined histogram of multi-channel was clips at a predetermined value, thereby limitingthe contrast amplification. Finally, the bilinear interpolation is performed between the new histogram. We sim-ulated the improved CLAHE algorithm, and tested the system for foggy video, image and outdoor scenes. Ex-perimental results showed that the system can real-time process 30 frames per second 1 920x 1080 resolutionimages, compared with the mainstream methods, the defogging effect was better and more stable. The systempower was less than 5 watts, so it could be applied to low power consumption.
- References:
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Last Update:
2020-05-30
