CAJ | 학술논문

针对含噪图像的融合问题，基于各向异性双变量收缩提出了一种图像融合的新算法。在小波域内，对高频子带进行各向异性双变量收缩以压缩噪声，对收缩系数进行模值选大融合，对低频子带进行算术平均融合，对融合系数进行逆变换获得融合图像。对多聚焦图像及红外与可见光图像的融合结果进行主客观性能评价表明，所提出的方法可以更好地保留源图像的细节信息，并有效抑制噪声。
침대함조도상적융합문제，기우각향이성쌍변량수축제출료일충도상융합적신산법。재소파역내，대고빈자대진행각향이성쌍변량수축이압축조성，대수축계수진행모치선대융합，대저빈자대진행산술평균융합，대융합계수진행역변환획득융합도상。대다취초도상급홍외여가견광도상적융합결과진행주객관성능평개표명，소제출적방법가이경호지보류원도상적세절신식，병유효억제조성。
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 sup-press 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.