The fusion experiments indicate this image fusion is superior to the traditional fusion based on the morphological pyramid, contrast pyramid and wavelet decomposition.
融合实验表明，该方法优于传统的形态学金字塔图像融合，衬比度金字塔图像融合和小波分解图像融合。
The experimental results demonstrate that the MSE (mean square error) reduced by this proposed approach decreases 30% - 60% than that by Laplacian pyramid and discrete wavelet transform approaches.
实验表明该方法融合结果的均方误差比拉普拉斯金字塔算法和小波变换方法降低约30%- 60%。
The simple image fusion method, the multiresolution image fusion techniques based on multiscale pyramid decomposition (MPD), and the image fusion method based on wavelet transform are studied.
文中研究了简单的图像融合方法、基于多尺度塔形分解的多分辨率图像融合方法和基于小波变换的图像融合方法。
Compared with the traditional pyramid decomposition, the fusion scheme based on wavelet is more capable to retain and pick up image information and has a greater application potential.
与传统金字塔方法相比较，基于小波变换的融合算法能够很好地保持图像的信息，提取源图像信息的能力更强，具有广阔的应用前景。
Experiments results show that the proposed fusion algorithm outperforms other fusion algorithms based on averaging, Laplacian pyramid, and wavelet fusion method using local energy.
实验结果表明本文提出的融合算法的性能优于平均融合算法、基于拉普拉斯塔型分解的融合算法和基于局部能量信息的小波融合算法。
The principle of image decomposition and reconstruction based on Gauss-pyramid, Laplacian-pyramid, contrast-pyramid and wavelet-pyramid is emphatically analyzed, as well as the fusion algorithm.
重点分析了高斯金字塔、拉普拉斯金字塔、对比度金字塔和小波金字塔在图像分解与重构中的原理及其融合算法。
The multiresolution image fusion algorithm is commonly used in image fusion process and can be divided into multiresolution pyramid fusion algorithm and wavelet transformation (WT) fusion algorithm.
针对弹载视频图像在战场中的应用背景，分析了在进行弹载图像信源压缩编码时对图像分辨率及帧频的特殊处理要求。
The multiresolution image fusion algorithm is commonly used in image fusion process and can be divided into multiresolution pyramid fusion algorithm and wavelet transformation (WT) fusion algorithm.
针对弹载视频图像在战场中的应用背景，分析了在进行弹载图像信源压缩编码时对图像分辨率及帧频的特殊处理要求。
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