Multiscaled Texture Synthesis Using Multisized Pixel Neighborhoods
Multiscaled Texture Synthesis Using Multisized Pixel Neighborhoods
复制标题
使用多尺寸像素邻域的多尺度纹理合成
DOI：
10.1109/mcg.2007.66
复制
发表时间：
2007
影响因子：
1.8
通讯作者：
Xujiong Ye
中科院分区：
文献类型：
--
作者：
F. Dong;Xujiong Ye
纹理合成中最近的努力集中在使用本地统计-也就是说，选择和拼接的纹理从输入纹理样本的基础上的本地颜色匹配，以强制纹理功能，无论是像素的像素或补丁补丁。一种新的纹理合成方法产生高质量的结果，通过引入多尺度纹理相似性度量。与其他多尺度方法相比，该方法采用自适应的相似性度量方法，在不同尺度下测量图像的纹理特性，从局部到全局，该度量方法考虑了不同图像区域的纹理变化
Most recent efforts in texture synthesis have focused on using local statistics - that is, selecting and stitching the textures from an input texture sample on the basis of a local color match to enforce textural features either pixel by pixel or patch by patch. A novel texture synthesis method produces high-quality results by introducing a multiscaled texture similarity measurement. Compared with other multiscaled methods, this approach focuses on measuring texture properties at different scales ranging from local to global using an adaptive similarity metric that accounts for texture variations across different image regions