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[Special Effectsrhbz

Description: 图像融合指标,综合熵、空间频率、互信息等等,一共7种。在图像处理后的质量评价方面很有用-Fusion index, comprehensive entropy, spatial frequency, mutual information, etc., a total of 7 species. In the image processing is useful for quality assessment
Platform: | Size: 55296 | Author: 葛宏 | Hits:

[matlabApplication-of-matlab

Description: 本文试图借助其图像处理工具箱函数的支持从工程和实验角度出发, 较为直观地探讨了matlab在遥感图像融合及质童评价中的应用。 文章首先讨论了两种常见的图像融合方法, 并给出matlab平台上实现其算法的程序代码, 然后提出对融合图像进行质童评价的指标, 最后通过相关程序予以实现并得出评价结果。-This article attempts to help its image processing toolbox function and experimental support from the engineering point of view, a more intuitive matlab discussed quality of remote sensing image fusion and evaluation of children. The article first discusses two common methods of image fusion, and gives the platform to achieve its algorithm matlab program code, and then put forward to the integration of image quality evaluation index child, and finally be realized through the relevant procedures and obtained evaluation results.
Platform: | Size: 465920 | Author: LTL | Hits:

[Special Effectsiamge-fusion-evaluate

Description: 进行图像融合效果评价的3个常用指标,分别为互信息,Petrovic and Xydeas Metric和quality index。-Image fusion effect evaluation of three commonly used indicators, respectively, for the mutual information Petrovic and Xydeas metrics and quality index.
Platform: | Size: 3072 | Author: lijunwei | Hits:

[matlabfusion-quality

Description: 对融合图片质量的评价指标,包括峰值信噪比和均方根误差,非常好用-the ution index of image fusion.include PSNR and RMSE ,it is very useful
Platform: | Size: 2048 | Author: 王成 | Hits:

[Special Effectspiella

Description: 融合图像质量评价的piella指标,在结构相似性原理的基础上,Piella提出了三个融合质量评价指标Q、QW和QE-Fusion Image Quality Evaluation piella index, based on structural similarity principle, Piella proposed three fusion quality index Q, QW and QE
Platform: | Size: 4096 | Author: 陈扬 | Hits:

[Special EffectsFusionEvaluation

Description: 几种图像融合评价指标,AG,EN,FMI,MI,Qab,Qw,SF,SSIM,即平均梯度AG、信息熵EN、特征互信息FMI、互信息MI、边缘信息保持量Qab、加权融合质量评价因子Qw、空间频率SF和相似性指数SSIM。能较好的描述图像融合结果,稳定性较好。(Several evaluation indexes of image fusion, Ag, en, FMI, MI, qAB, QW, SF, SSIM, namely average gradient AG, information entropy En, feature mutual information FMI, mutual information MI, edge information retention qAB, weighted fusion quality evaluation factor QW, spatial frequency SF and similarity index SSIM. It can describe the result of image fusion well and has good stability.)
Platform: | Size: 12288 | Author: 爱上小萌女 | Hits:

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