基于小波多尺度分解的互补全景图像融合

为了解决折反射成像内外环分辨率低且不均匀的问题,针对互补全景图像的特点,提出了一种基于小波多尺度分解的图像融合方法。首先对两幅互补的源图像分别进行小波多尺度分解,得到不同分辨率、不同方向的分量;其次,按照特定的融合策略,低频采用平均算子进行融合,高频采用逐层互换的融合策略进行融合;最后,通过小波逆变换得到融合图像。实验结果表明,该方法在互补全景图像的融合中简单有效,并且拥有较好的效果。

Complementary panoramic image fusion based on wavelet multi-scale decomposition

In order to solve the problem of low and non-uniform resolution in catadioptric omnidirectional imaging, a new image fusion method based on wavelet multi-scale decomposition was proposed in this paper according to the characteristics of complementary panoramic images. Using wavelet transform, the two complementary source images were decomposed into components with different resolutions and different directions first. And then based on specific fusion rules, low frequency was fused by average operator. With high frequency fusion, the exchanging by scales principle was utilized. At last, the fused image was reconstructed by inverse wavelet transform. The experimental results show that the fusion algorithm is simple and effective in the fusion of complementary panoramic images, and has good fusion results.