Description: 给出了一种基于小波变换的图像融合方法，对小波分解后的低频分量通过度量其图像块空间频率和对比度来确定融合图
像的低频分量，对分解后得到的高频分量，选择高频系数时，基于绝对值最大的原则，并对选择结果进行一致性验证，最后重构得
到融合图像。从仿真结果可以看出，给出的方法很好地保留了多幅原图像的有用信息，融合图像清晰度和对比度都较好，是一种有
效的图像融合算法-This paper presents a wavelet-based image fusion method, after the wavelet decomposition of the low frequency components through the measurement of its image block spatial frequency and contrast to determine the integration of low-frequency component images of decomposition after the high-frequency component, select the high-frequency coefficient and, based on the principle of the absolute value of the largest, and choose to verify consistency of results, and finally remodeling be fused image. From the simulation results can be seen that the method gives a good number of the original image to retain the useful information, integration of image sharpness and contrast are better, is an effective image fusion algorithm Platform: |
Size: 169984 |
Author:wd |
Hits:
Description: 种基于图像质量因子的图像融合客观评价方法。该方法利用熵加权和均方根图像融合质量因子对融合图像与源图像间的相关性、 亮度失真和对比度失真进行综合评价,因而在不同融合方法和不同源图像的条件下,可获得标准的评估统计量。采用加权平均、 拉普拉斯塔形分解及基于小波变换的图像融合法为例,通过对多传感器图像进行融合评价实验,证明了该方法的有效性和鲁棒性。-Factor based on image quality of the image fusion method of objective evaluation. This method is the use of entropy and the weighted root-mean-square image fusion quality factor of the fused image and the source of the correlation between image brightness and contrast distortion of a comprehensive evaluation of distortion, which fusion in different ways and different sources of image conditions, the availability of standards assessment statistics. Using the weighted average, Laplacian pyramid and wavelet transform-based image fusion method as an example of multi-sensor image fusion evaluation experiments show that the method is effective and robust. Platform: |
Size: 730112 |
Author:storm |
Hits:
Description: 文中的方法是把图像分块，小波分解得到低频分量、高频分量，然后计算每一块的对比度，把图像块划分为清晰块、模糊块，把清晰块和模糊块相邻的区域定义为边界区域，融合时，直接选取清晰块作为融合后的相应块，对于边界区域，在小波分解的基础上采用基于对比度的像素选取的方法进行处理。-Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then calculate the contrast of each piece, the image block is divided into clear blocks, fuzzy block, to clear blocks and fuzzy block is defined as the border region adjacent to area, integration time, a clear block directly select the corresponding block as a fusion, for the border region, the wavelet decomposition on the basis of the pixel-based contrast method selected for processing. Platform: |
Size: 338944 |
Author:许国柱 |
Hits:
Search - wavelet fusion method for contrast