摘要
为了增强视觉传达图像中人眼不可视区域内隐藏的微小细节,提升图像分辨率,提出了基于时空域滤波的视觉传达图像微小细节增强方法。依据分层差分理论建立视觉传达图像分差表达模型,通过最大灰度级定义高频变化分量,获取视觉传达图像灰度值;基于时空域滤波方法构造分类函数,扩大图像细节类间差异性,以此判断图像微小细节区间;根据高斯随机变量值构建多阶导数,利用其变量累积量和累积矩特性,求解细节特征的变量密度,完成图像微小细节推导,实现增强方法设计。以郁金香为增强图例进行实验,结果表明:所提方法处理后的图像主观感受较为舒服,郁金香花瓣的纹理更加明显,细节更加突出,具有较好的实际应用效果。
In order to enhance the hidden small details in the invisible region of visual communication image and improve the image resolution,micro-detail enhancement method for visual communication images based on spatio-temporal filtering is proposed.According to the theory of layered difference,the differential expression model of visual communication image is established,and the high-frequency variation component is defined by the maximum gray level to obtain the gray value of visual communication image.Based on the spatio-temporal filtering method,the classification function is constructed to expand the difference between image detail classes,so as to judge the small detail interval of the image;Multi-order derivatives are constructed according to the values of Gaussian random variables,and the variable density of detail features is solved by using its variable cumulant and cumulative moment characteristics,which completes the derivation of tiny details of images and realizes the design of enhancement methods.According to the value of Gaussian random variable,the multi order derivative is constructed,and the variable density of detail feature is solved by using its variable cumulant and cumulative moment characteristics,so as to complete the derivation of micro details of image and realize the design of enhancement method.Taking tulip as the enhanced legend,the results show that the subjective feeling of the image processed by the proposed method is more comfortable,the texture of tulip petals is more obvious,and the details are more prominent,which has a better practical application effect.
作者
偰倩
Xie Qian(School of Art Design,Anhui Wenda University of Information Engineering,Hefei,Anhui 230000,China)
出处
《黑龙江工业学院学报（综合版）》
2022年第10期66-71,共6页
Journal of Heilongjiang University of Technology(Comprehensive Edition)
关键词
时空域滤波
视觉传达图像
微小细节
细节增强
time-space filtering
visual communication image
minute details
detail enhancement
