Image Mosaics Based on Complex Wavelet Decomposition
基于复值小波分解的图象拼合

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.