摘要
基于样本块纹理传输的原理,研究了源纹理图像的纹理信息、结构信息以及目标图像的结构信息对纹理传输风格化效果的影响。采用非线性滤波的相对总变差模型对源纹理图像和目标图像进行分解,消除源纹理图像的结构信息和目标图像的纹理信息;使用纹理传输算法对上述保留信息进行纹理传输;改进的算法避免了传统算法在传输源纹理图像的结构信息时对目标图像结构的覆盖。这样,目标图像的边缘结构信息与传输结果图进行叠加,增强了传输结果图的边缘信息,改善了风格化的效果。实验证明,改进后的算法比传统算法取得更好的传输风格化效果。
Based on the principle of sample block texture transmission, the influences of the source texture image＇ s texture information and structural information, and the structural information of the target image on the stylistic effect of the texture transfer are studied. The source texture image and target image are decomposed with the relative total variation model of non-filtering for eliminating the structure information of the source texture image and the texture information of the target image. Texture transmission algorithm is used for the texture transmission of the above reserved information image. The improved algorithm avoids covering the target image structure when the structural information of the source texture image transmits in the traditional algorithm. In this way, the edge structure information of the target image and the transmission result image are superimposed, which enhances the edge information of the transmission result graph, and improves the stylized effect. Experimental results show that the improved algorithm can achieve better transmission stylized effect than that of the traditional algorithm.
作者
谭永前
曾凡菊
吴位巍
张鸿筠
Tan Yongqian;Zeng Fanju;Wu Weiwei;Zhang Hongyun(School of Big Data Engineering, Kaili University, Kaili, Guizhou 556011, China;School of Optoetectronic Engineering, Chongging University, Chongqing 400044, China)
出处
《激光与光电子学进展》
CSCD
北大核心
2018年第6期179-184,共6页
Laser & Optoelectronics Progress
基金
贵州省科技合作计划项目(黔科合LH字[2017]7161号
黔科合LH字[2016]7318号)
贵州省教育厅青年科技人才成长项目(黔教合KY字[2017]335)
国家自然科学基金(11464023)
关键词
图像处理
纹理传输
边缘检测
非线性滤波
风格化处理
image processing
texture transmission
edge detection
non-filtering
stylized processing
