中圖分類號：TP391 文獻(xiàn)標(biāo)志碼：A DOI: 10.16157/j.issn.0258-7998.234715 中文引用格式： 郝振中,，余耀,，孫靜. 基于FPGA的視頻圖像去霧算法的優(yōu)化與實(shí)現(xiàn)[J]. 電子技術(shù)應(yīng)用，2024,，50(5)：90-96. 英文引用格式： Hao Zhenzhong，Yu Yao,，Sun Jing. Optimization and implementation of image defogging algorithm based on FPGA[J]. Application of Electronic Technique,，2024,，50(5)：90-96.
Optimization and implementation of image defogging algorithm based on FPGA
Hao Zhenzhong1，Yu Yao2,，Sun Jing1
1.School of Electronic Engineering/School of Intelligent Manufacturing,， Anhui Xinhua University； 2.School of Electronics and Information Engineering,， Wuxi University
Abstract： Images collected under severe weather conditions have problems such as poor contrast and reduced clarity. The deterioration of image quality limits the accuracy of computer vision and the efficiency of automated tasks. This article proposes an image dehazing algorithm based on contrast limited adaptive histogram equalization (CLHE) and improved multi-scale Retinex (MSR). In this algorithm, the input foggy degraded image is first processed by the CLAHE algorithm and then the MSR algorithm. When processing the image with the MSR algorithm, the Gamma correction factor is introduced to estimate the incident light and the surround function in the algorithm is optimized. The results show that compared with the original image, the image processed by this algorithm has improved the information entropy, average gradient and standard deviation of the image. The hardware circuit was designed and the video real-time dehazing was successfully demonstrated on FPGA, which improved the quality of the video image. A digital analysis of board-level resources and function consumption was conducted, proving that the hardware system in this article belongs to the low-power category.
Key words : image quality,；CLAHE；multi-scale Retinex,；FPGA,；video defogging
