基于复值小波分解的图象拼合

图象拼合是一种基于图象的场景编码方法，它被很多基于图象的绘制IBR（image based rendering）系统采用，用来建立复杂的虚拟场景表示（例如，360°球面和柱面全景图、环境映照及高分辨率图象等）.基于复值小波多分辨率分解(Complex Wavelet Multiresolution Decomposition)提出了一种有效的图象拼合方法，它能同时地、逐步求精地对图象进行匹配和整合.首先，采用复值小波变换不仅可以保证全局优化的结果，还能够满足图象整合的规模不变和平移不变性.其次，基于多分辨

Image Mosaics Based on Complex Wavelet Decomposition

Image mosaics is one of the scene encoding approaches and is very popular among many IBR(image based rendering) systems in creating complex virtual environment based on photogeometrics, for example, 360° sphere or cylindrical panoramas, environment maps as well as high resolution images. In this paper, the authors present a robust panoramic image mosaicing scheme which employs complex wavelet pyramid techniques. It addresses the problems of both image matching and registration automatically and simultaneously. Complex wavelet transform guarantees not only a global optimal solution, but also scale and translation invariance for image alignment. The results can be progressively refined on the multiresolution decomposition. This feature guarantees that the scheme has higher performance than the traditional mosaicing techniques. The simplification of similarity measure decreases the complexity of computing. Additionally, the scheme registers images taken directly from digital camera without knowing camera motion and any intrinsic parameters of camera.