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- 直方圖等化(Histogram Equalization)為一種使用統計方法的影像處理程式設計,它的功能為將統計直方圖的色彩分布平均的打散在直方圖裡,也就是說,讓一張圖的直方圖分布均勻化,同樣的也是使用到LUT(Look-up Table)的方法 而在設計直方圖等化不可或缺的就是需要先知道統計學的機率密度函數(Probability Density Function,PDF)以及累積分配函數(Cumlative Distribution Function,CDF)相關的基本概念,在這邊
image_fusion_proforma_evalu_quality
- 这是从网上整理出来的图像融合评价标准,总共有13项性能指标。包括平均梯度,边缘强度,信息熵,灰度均值,标准差(均方差MSE),均方根误差,峰值信噪比(psnr),空间频率(sf),图像清晰度,互信息(mi),结构相似性(ssim),交叉熵(cross entropy),相对标准差。大家一起交流吧~-This is sorted out from the online image fusion evaluation criteria, there are a total of 13 perform
fusion-evaluation
- 图像融合中常用的评价指标(非常全面)如:平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。-Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual i
quality--index-of-image
- 此文档中的代码可以计算5种图像的质量参数,分别是:图像灰度均值、图像方差、图像平均梯度、熵和峰值信噪比及均方误差。-The code in this document can be calculated five kinds of image quality parameters, namely: the image gray value, image variance, average gradient image, entropy and peak signal to noise ratio
A
- 均方误差信噪比 峰值信噪平均绝对误差的计算-Write MATLAB functions that take two grayscale images as input, and calculate the following image difference metrics: Mean Squared Error (MSE) Signal to Noise Ratio(SNR) Peak Signal to Noise Ra
judgeImg
- 图像重建判定函数,计算归一化均方距离判据d和归一化平均绝对距离判据r-Image reconstruction decision function,Calculating the normalized mean square distance criterion d and normalized average absolute distance criterion r
fusion-evaluation
- 图像融合精度评价,包括信息熵,平均梯度,相关系数,均值,均方差等指标- uation of image fusion
Image20160331Quality
- 测试以下图像信息 1。结构内容(SC) 2。均方误差(MSE) 3。峰值信噪比(PSNR值) 4。归一化互相关(NCC) 5。平均差(AD) 6。最大的差异(MD) 7。归一化绝对误差(NAE)-Image/Picture Quality Measures In this application, different image quality measures are calculated for a distorted image with refere
Image_processing_quality_evluation
- 图像处理(图像融合,图像加密等)的性能评价指标集包括:平均梯度,边缘强度,信息熵,灰度均值,标准差(均方差MSE),均方根误差,峰值信噪比(psnr),空间频率(sf),图像清晰度,互信息(mi),结构相似性(ssim),交叉熵(cross entropy),相对标准差。-Image processing,average gradient, edge strength, information entropy, gray mean, standard deviation (variance (M
图像处理评价指标
- 图像融合中的平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等(Average gradient, correlation coefficient, information entropy, cross-entropy, joint entropy, mean square error, mutual information, signal-to-noise ratio, peak signal-to-no