关键词: 图像融合, 各向异性双变量收缩, 小波变换

Abstract: A new image fusion method based on anisotropic bivariate shrinkage is proposed, focusing on the fusion of noisy images. The high frequency subbands are shrunk with anisotropic bivariate shrinkage in the wavelet domain to suppress the noise effectively. The shrunk coefficients are fused by maximum absolution selection while average is taken to fuse the low frequency subbands. The fused image is obtained by taking inverse transform of the fused coefficients. Both subjective and objective assessments of the fusion results of multi-focus images and IR and visible images show that the proposed method works better in preserving details and suppressing noises of the source images.

Key words: image fusion, anisotropic bivariate shrinkage, wavelet transform