公开(公告)号：US07567715B1

公开(公告)日：2009-07-28

申请号：US11128408

申请日：2005-05-12

申请人： Song-Chun Zhu ,  Cheng-en Guo ,  Ying-Nian Wu

发明人： Song-Chun Zhu ,  Cheng-en Guo ,  Ying-Nian Wu

IPC分类号： G06K9/36 ,  G06K9/46 ,  G06K9/48 ,  G06K9/62

CPC分类号： G06K9/4638 ,  G06K9/469

摘要： A system and method for representing and encoding an input image. Pixels associated with the structural part of the image are referred to as “sketchable,” and pixels associated with the texture part are referred to as “non-sketchable.” A sketch graph, Ssk, is generated for the sketchable part of the input image by iteratively selecting a plurality of optimal image primitives from a dictionary of image primitives. The sketch graph may then be refined to achieve good Gestalt organization and resolve ambiguities in the graph. The non-sketchable texture regions of the image, Snsk, are computed via a simple texture clustering algorithm. In reconstructing the sketchable part of the input image, the image primitives are aligned on the sketch graph. In reconstructing the non-sketchable part of the input image, the MRF models are simulated to reproduce statistical summaries of the various texture regions using the sketchable part as boundary condition.

摘要翻译： 一种用于表示和编码输入图像的系统和方法。 与图像的结构部分相关联的像素被称为“可绘制”，并且与纹理部分相关联的像素被称为“不可绘制”。 通过从图像原语的字典中迭代地选择多个最佳图像原语，为输入图像的可缩放部分生成草图Ssk。 然后可以对草图进行细化，以实现良好的格式塔组织，并解决图中的歧义。 通过简单的纹理聚类算法计算图像Snsk的不可裁剪纹理区域。 在重建输入图像的可略图部分时，图像原语在草图上对齐。 在重建输入图像的不可略换部分时，模拟MRF模型，以使用可选部分作为边界条件再现各种纹理区域的统计摘要。