Computer Artificial Vision Image Processing System Based on FPGA

Su, Xiuzhi; Zuo, Guocai

doi:10.1007/978-981-16-5854-9_24

Cited by 1 publication

(2 citation statements)

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“…The logarithmic ratio of peak signal energy (P) to MSE between output (𝑂 𝑖 ) and original (𝐼 𝑗 ) images is defined as PSNR. It can be stated as (10) and (11):…”

Section: Performance Evaluation Methodsmentioning

confidence: 99%

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Digital image enhancement by brightness and contrast manipulation using Verilog hardware description language

Azhari

Setumin

Noorsal

2023

IJECE

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A foggy environment may cause digitally captured images to appear blurry, dim, or low in contrast. This will impact computer vision systems that rely on image information. With the need for real-time image information, such as a plate number recognition system, a simple yet effective image enhancement algorithm using a hardware implementation is very much needed to fulfil the need. To improve images that suffer from low exposure and hazy, the hardware implementations are usually based on complex algorithms. Hence, the aim of this paper is to propose a less complex enhancement algorithm for hardware implementation that is able to improve the quality of such images. The proposed method simply combines brightness and contrast manipulation to enhance the image. In order to see the performance of the proposed method, a total of 100 vehicle registration number images were collected, enhanced, and evaluated. The evaluation results were compared to two other enhancement methods quantitatively and qualitatively. Quantitative evaluation is done by evaluating the output image using peak signal-to-noise ratio and mean-square error evaluation metrics, while a survey is done to evaluate the output image qualitatively. Based on the quantitative evaluation results, our proposed method outperforms the other two enhancement methods.

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“…The logarithmic ratio of peak signal energy (P) to MSE between output (𝑂 𝑖 ) and original (𝐼 𝑗 ) images is defined as PSNR. It can be stated as (10) and (11):…”

Section: Performance Evaluation Methodsmentioning

confidence: 99%

“…The research on the hardware implementation of image processing algorithms has gained much interest in recent years [6]- [10]. It has been the focus of many research papers.…”

Section: Related Workmentioning

confidence: 99%