基于双边滤波的二维动画图像多尺度细节增强方法  

Multi-scale detail enhancement method for two-dimensional animated images based on bilateral filtering

作　　者：林智欣 LIN Zhi-xin(School of Information Management,Minnan University of Science and Technology,Fujian Shishi 362700,China)

机构地区：[1]闽南理工学院信息管理学院,福建石狮362700

出　　处：《齐齐哈尔大学学报（自然科学版）》2021年第1期56-61,共6页Journal of Qiqihar University(Natural Science Edition)

摘　　要：传统二维动画图像增强方法很难保证色彩通道之间存在的关联性,导致图像缺乏层次感,可靠性差。为此,设计基于双边滤波的二维动画图像多尺度细节增强方法。对原始的二维动画图像进行多尺度分解,通过双平台直方图均衡处理分解后的背景层图像,保证图像整体灰度动态范围与原始图像相同。在多尺度图像融合过程中,引入梯度权重因子,利用梯度函数增强图像细节,获得细节图像,并计算出所有分解图像的细节系数,通过加权平均实现分解图像融合。实验结果表明,所设计的基于双边滤波二维动画图像多尺度细节增强方法能够有效去除图像噪声,保持图像边缘平滑,提高图像的层次感,可靠性强。Traditional two-dimensional animation image enhancement methods are difficult to ensure the relevance between color channels,resulting in the lack of hierarchical image and poor reliability.Therefore,a two-dimensional animation image multi-scale detail enhancement method based on bilateral filtering is designed.The original two-dimensional animation image is decomposed by multi-scale,and the decomposed background image is processed by double platform histogram equalization to ensure that the overall dynamic range of gray level of the image is the same as that of the original image.In the process of multi-scale image fusion,the gradient weight factor is introduced,and the detail image is obtained by using the gradient function.The detail coefficients of all decomposed images are calculated,and the decomposed image fusion is realized by weighted average.The experimental results show that the multi-scale detail enhancement method based on bilateral filtering can effectively remove the image noise,keep the image edge smooth,improve the image hierarchy,and has strong reliability.

关 键 词：双边滤波 二维动画 图像细节增强 多尺度分解 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]