基于DM6467的视频图像增强系统研究  

Research on Video Image Enhancement System Based on DM6467

作　　者：陈生奇[1] 刘畅[2] CHEN Sheng-qi;LIU Chang(Huazhong Institute of Electro-Optics-Wuhan National Laboratory for Optoelectronics,Wuhan 430223,China;Wuhan Second Ship Design Institute,Wuhan 430205,China)

机构地区：[1]华中光电技术研究所—武汉光电国家研究中心,湖北武汉430223 [2]武汉第二船舶设计研究所,湖北武汉430205

出　　处：《光学与光电技术》2023年第4期67-74,共8页Optics & Optoelectronic Technology

摘　　要：针对雾气环境下实际图像亮度/对比度不佳的情况,提出了整体灰度拉伸和局部对比度增强算法,改善了图像的亮度和对比度。采用基于暗原色先验的图像去雾算法来去除视频监控中常常遇到的雾霾影响。为了消除块效应,将图像分成最小的块,即对每个像素提取暗原色,并采用邻近相似性原则修正暗原色,MATLAB仿真表明,改进后的算法可以很好地去除图像中的雾气。最后,完成了基于达芬奇DM6467的图像增强算法软件开发,实现了4路视频的输出、切换和图像增强。增强后的图像,其SSIM指标可提高50%以上,该系统可以有效地去除雾气对图像的影响,满足图像去雾增强的需要。Aiming at the actual image brightness/contrast in fog environment,an overall gray level tensile and local contrast enhancement algorithm to improve the image brightness and contrast is proposed in this paper.The image removal algorithm based on dark primary color prior is used to remove the haze effect often encountered in video surveillance.In order to eliminate the blocking artifact,the image is divided into the smallest blocks,that is,the dark primary color is extracted for each pixel,and the adjacent similarity principle is used to correct the dark primary color.MATLAB simulation shows that the improved algorithm can remove haze from the image.Finally,the software development of DaVinci DM6467 based image enhancement algorithm is completed,and the output,switching and image enhancement of 4-channel video are realized.Enhanced image,its SSIM indicator can be increased by more than 50%.The system can effectively remove the effects of haze on the image to meet the needs of image dehaze enhancement.

关 键 词：块效应 图像增强 图像去雾 灰度拉伸 对比度增强 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]