Abstract: Wavelete decomposition was performed to classify the source images into two types: the edge-riched image and the smooth image. Based on the Human Visual System theory, different combination techniques, the image stitching and the image blending methods, were selected to deal with different source images. A new algorithm was proposed to find an optimized stitching path in the overlapped area of Partial Texture Maps. View dependent weight was added into the ordinary blending weight, which made the generated texture map reveal some geometric properties of the 3D model. The experimental results verify the validity of the methods.

Key words: wavelet block, human visual system, multiresolution blending, blending weight, image stitching

摘要： 通过小波分解技术将原始图像集合分为2类：边缘图和平滑图，然后根据人眼视觉机制，对此两类图像选择相应的拼接技术。边缘图像采用图像缝合法进行拼接，提出了在部分纹理图表面搜索最优缝合路径的方法。对平滑图像采用多尺度融合法拼接，其中的多尺度融合权函数能较好地体现三维模型的几何特征。实验结果说明了本算法的有效性。

关键词: 小波块, 人类视觉系统, 多尺度融合, 融合权值, 图像缝合