摘要
传统模糊视频图像增强技术无法动态优化图像明暗对比度。为此,提出多帧动画模糊视频图像后期增强方法。根据前期准备环节、实际拍摄环节、后期制作环节设计多帧动画模糊视频图像后期处理流程。利用低频滤波器和模板操作分别对图像的频域和空域进行平滑处理,实现图像降噪处理。对平滑处理后的视频图像完成直方图均衡处理,通过扩展视频图像内不同像素值的动态范围,提升图像明暗对比度。实验结果显示采用该方法增强所选视频帧图像后,其整体与局部的对比度显著提升,信息熵更高,图像细节刻画更精确。
Traditional fuzzy video image enhancement techniques fail to dynamically optimize the contrast of image.In this paper,a method of post-enhancement for fuzzy video image of multi-frame animation was presented.According to the preliminary preparation,actual shooting and post-production,the post-production process of multi-frame fuzzy animation image was designed.Then the frequency domain and spatial domain of image were smoothed using low-frequency filter and template operation respectively,so that the noise reduction was realized.After that,the image histogram equalization was carried out.Finally,the contrast of image was improved by expanding the dynamic range of different pixels in video images.Experimental results show that the global and regional contrast of the selected video frames is improved significantly after using the proposed method.In addition,the information entropy is higher,and the image details are described more accurately.
作者
单峰
姜皖
SHAN Feng;JIANG Wan(Wanjiang College,Anhui Normal University,Wuhu Anhui 241008,China;Anhui Normal University,Wuhu Anhui 241002,China)
出处
《计算机仿真》
北大核心
2023年第8期226-229,274,共5页
Computer Simulation
基金
2019年安徽省高等学校省级质量工程项目(精品线下开放课程)(2019kfkc309)。
关键词
多帧动画
模糊视频图像
后期处理
平滑处理
直方图均衡
Multi-frame animation
Blurred video image
Post-processing
Smoothing
Histogram equalization
