• Laser & Optoelectronics Progress
  • Vol. 55, Issue 5, 051005 (2018)
Yongqian Tan1、1; and Fanju Zeng1、2、1; 2;
Author Affiliations
  • 1 School of Big Data Engineering, Kaili University, Kaili, Guizhou 556011, China
  • 2 College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
  • show less
    DOI: 10.3788/LOP55.051005 Cite this Article Set citation alerts
    Yongqian Tan, Fanju Zeng. Texture Transfer Algorithm Based on Matching Error Improvement and Iterative Transfer[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051005 Copy Citation Text show less

    Abstract

    Based on texture transfer principle of sample blocks, the influences of edge gradient information of texture image, the minimum error path and luminance information in the nonlinearity luma/chroma (YUV) color space on texture transfer results are studied. We take edge gradient information of texture image and the minimum error path of overlapping region as the measure of the texture synthesis at the same time, and introduce luminance information of the source texture image and the target image in YUV color space as constraint measure of the texture transmission. The found matching block is more suitable for texture transfer. At the same time, we use iterative method in the process of texture transmission to solve the problem that the transmission effect is not good after the texture transmission for one time. Experimental results show that, compared with the traditional texture transfer algorithm, the improved texture transfer algorithm can achieve better transmission effect.
    Yongqian Tan, Fanju Zeng. Texture Transfer Algorithm Based on Matching Error Improvement and Iterative Transfer[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051005
    Download Citation