• Laser & Optoelectronics Progress
  • Vol. 55, Issue 6, 061012 (2018)
Yongqian Tan1、1; , Fanju Zeng1、2、1; 2; , Weiwei Wu1、1; , and Hongyun Zhang1、1;
Author Affiliations
  • 1 School of Big Data Engineering, Kaili University, Kaili, Guizhou 556011, China
  • 2 School of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
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    DOI: 10.3788/LOP55.061012 Cite this Article Set citation alerts
    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 Copy Citation Text show less

    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.
    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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