Currently, there is an increasing demand for wooden furniture and products, especially in the decorating business where wood textures are widely used. These textures have different artificial designs, and because different consumers have different needs for wood texture, the trend of using computer algorithms to design wood textures emerged. We propose a method for synthesizing wood’s heterogeneous texture. It can analyze the characteristics of different wood textures, select the most appropriate input sample block size, and then generate a new image with a sample texture. Compared with the deep learning method, our method reduces pressure on system resources and production costs. The proposed method also generates higher quality reconstructed images than traditional algorithms.

中文翻译：

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基于修饰图像缝的木板装饰纹理重构

当前，对木制家具和产品的需求不断增长，特别是在广泛使用木质纹理的装潢业务中。这些纹理具有不同的人工设计，并且由于不同的消费者对木材纹理的需求不同，因此出现了使用计算机算法设计木材纹理的趋势。我们提出了一种合成木材异质纹理的方法。它可以分析不同木材纹理的特征，选择最合适的输入样本块大小，然后生成带有样本纹理的新图像。与深度学习方法相比，我们的方法减少了对系统资源和生产成本的压力。与传统算法相比，所提出的方法还可以生成更高质量的重建图像。