提出了一种基于高斯金字塔分解的数字图像扩频水印技术。
In this paper, a spread spectrum digital watermark based on Gaussian pyramid decomposition was proposed.
利用拉普拉斯金字塔分解算法对图像进行多分辨率分析，对分解后的图像采用基于区域特征量测的方法进行融合。
This paper adopts a Laplacian Pyramidal decomposition method to analyze two images, And the decomposed images are fused with the method based on regional features measurement.
首先，通过拉普拉斯金字塔变换将源图像分解为各级分辨率的子图像。
Firstly, the source images are decomposed into sub-images at different scales through Laplacian pyramid transform.
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 fusion experiments indicate this image fusion is superior to the traditional fusion based on the morphological pyramid, contrast pyramid and wavelet decomposition.
实验表明，在不同的分解级，金字塔复方向滤波器组的每个子带系数也都是符合GGD模型的。
The experiments show that the coefficients of PDTDFB transform is accorded with the GGD model at different decomposition level.
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 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 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.
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