基于细节信息提取的全色与多光谱图像融合方法

全色（Panchromatic, Pan）图像与多光谱（Multi-spectral, MS）图像融合的目的是生成具有高空间分辨率的多光谱图像。为了进一步提升融合图像的质量，提出一种基于细节信息提取的融合方法。首先，使用滚动引导滤波器与差值运算分别获取Pan与MS的高频分量。其次，采用自适应强度-色度-饱和度（AdaptiveIntensity-Hue-Saturation,AIHS）变换处理MS的高频分量与经像素显著性检测后Pan的高频分量，生成对应的强度分量（Intensity,Ⅰ），再将Pan与Ⅰ作差值运算获取细节图像。接着，采用引导滤波器计算Pan与MS的高频分量的差值，得到残差图像。最后，利用最速下降法将细节图像与残差图像注入到原始的MS图像中获得最终融合结果。实验结果表明，本文所提算法得到的融合图像能够取得较好的主观视觉效果，且客观定量评价指标较优。

Panchromatic and Multispectral Images Fusion Method Based on Detail Information Extraction

The fusion of panchromatic images (Pan) and multi-spectral images (MS) is designed to generate multi-spectral images with high spatial resolution. A fusion method based on detailed information extraction is proposed to improve the quality of the fused images. First, the high-frequency components of Pan and MS are obtained by a rolling guidance filter and margin calculation, respectively. Second, the adaptive intensity-hue-saturation (AIHS) transform is used to process the high-frequency components of MS and Pan, determined by the pixel significance, to generate the corresponding intensity component (I, intensity). Then, the difference between Pan and I is calculated to obtain the detailed image. Then, the residual image is obtained by calculating the difference between the high-frequency components of Pan and MS with a guided filter. Finally, the detailed and residual images are integrated with the original MS image using the steepest descent method to obtain the final fusion result. The experimental results demonstrate that the fused images obtained by the proposed algorithm can achieve better subjective visual effect. Simultaneously, the objective evaluation indicators are better.