摘要
针对录制的教学视频图像对比度低或设备引起的伪薄雾情况,提出一种局部对比度优化的增强方法。在反锐化掩模方法的基础上对图像分块进行对比度增强。为求取最大对比度,设定增益因子的约束条件,并求得最优值。同时为解决分块增强带来的块效应,又采用引导滤波对增益因子进行优化。实验结果表明,该方法能有效地对降质的教学视频图像进行增强,具有较好的增强效果和效率。
In allusion to the low contrast of the recorded teaching video images or the false haze caused by devices,a local contrast optimization enhancement method is proposed. The contrast enhancement is conducted for image blocks by using the unsharp masking method. The constraint condition of the gain factor is set to obtain the maximum contrast and the optimal value. The guiding filtering is used for optimization of the gain factor to solve the block effect problem caused by blocking enhancement. The experimental results show that the method can effectively enhance the teaching video images with quality degradation, and has a good enhancement effect and efficiency.
作者
张明军
俞文静
王影
ZHANG Mingjun;YU Wenjing;WANG Ying(South China Institute of Software Engineering,Guangzhou University,Guangzhou 510990,China)
出处
《现代电子技术》
北大核心
2019年第2期75-79,共5页
Modern Electronics Technique
基金
广东高校重大科研项目(2015KQNCX202)
广州大学华软软件学院科研项目(ky201611)~~
关键词
教学视频
图像增强
对比度优化
块效应
引导滤波
伪薄雾
teaching video
image enhancement
contrast optimization
block effect
guiding filtering
false haze
