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.
最后利用熵和空间频率对该方法的融合性能进行了评估分析，并与基于拉普拉斯变换和小波变换的图像融合方法进行了比较。
They use entropy and spatial frequency to evaluate the fusion result of their method and perform a comparison with the Laplacian based and the wavelet based image fusion methods.
图像的小波系数具有很强的非高斯统计特性，可以建立推广的拉普拉斯先验分布，用贝叶斯估计对图像小波系数滤波来达到降噪目的。
The wavelet subband coefficients of images have highly non Gaussian statistics that may be modeled with generalized Laplacian distributions, and Bayesian estimation is used to suppress noise.
针对原木中的漏节等圆形缺陷，本文设计了改进的拉普拉斯算子法增强图像中目标的清晰度。
Regarding the circular defects such as leakage gnarl in log, this paper designed an improved Laplaces special gradient method to clarify the target image.
同时利用拉普拉斯密度模型作为特征系数的稀疏惩罚函数，保证了图像结构的稀疏性。
At the same time, this algorithm utilized the Laplace density model as the feature coefficients sparse punitive function to ensure an image's sparse structure.
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.
在总结现有图像彩色化方法的基础上，分析了彩色化由局部向全局扩展的本质，进而提出了一种通过求解拉普拉斯方程实现颜色扩展的彩色化方法。
In this paper, current colorization algorithms are summarized and the principle of color propagation is analyzed. Then a colorization algorithm based on Laplace equation is proposed.
为了在继承拉普拉斯算子高实时性的前提下提高图像分割质量，设计了一个可与拉普拉斯算子差分计算同步进行滤波工作的空间滤波器。
In order to improve the quality of Laplace operator image segmentation at a high real time capability this paper presented a synchronization dimensional structure filter for Laplace operator.
基于图像离散余弦变换(DCT)交流系数的拉普拉斯分布模型，提出了一种盲提取数字图像信息隐藏算法。
The ac coefficients of an image's Discrete Cosine Transform (DCT) are best approximated by Laplacian distribution model. Based on this model, the blind information hiding algorithm was proposed.
拉普拉斯算子的方法是在图像的二阶导数搜索零交叉来查找边缘。
The Laplacian method searches for zero crossings in the second derivative of the image to find edges.
首先对图像进行中值滤波去除噪声，然后用高斯—拉普拉斯算子提取边缘，这种边缘检测方法的效果很好。
First, do median filter to image in order to wipe off noise, then make use of Gauss-Laplace operator to pick up edge. The result showed the kind of edge detecting method has good performance.
但是，原始的轮廓波变换由于采用拉普拉斯塔式变换而存在一定的冗余度，并且缺乏平移不变性，因此在图像处理等应用中具有其局限性。
However, the original contourlet transform has a certain redundancy and lacks translation invariance, it tends to have its limitation in the applications such as image processing.
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.
应用推荐