激光与光电子学进展, 2018, 55 (6): 061012, 网络出版: 2018-09-11  

基于非线性滤波和边缘检测的纹理传输图像风格化处理 下载: 828次

Texture Transmission Image Stylized Processing Based on Non-Linear Filtering and Edge Detection
作者单位
1 凯里学院大数据工程学院, 贵州 凯里 556001
2 重庆大学光电工程学院, 重庆 400044
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。
Abstract
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.

谭永前, 曾凡菊, 吴位巍, 张鸿筠. 基于非线性滤波和边缘检测的纹理传输图像风格化处理[J]. 激光与光电子学进展, 2018, 55(6): 061012. Yongqian Tan, Fanju Zeng, Weiwei Wu, Hongyun Zhang. Texture Transmission Image Stylized Processing Based on Non-Linear Filtering and Edge Detection[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061012.

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