搜索资源列表
daqipso
- 这是一个基于大气环境评价的PSO程序，用MATLAB语言编写，在大气质量的评价上有很高的应用-This is an evaluation based on the atmospheric environment PSO procedure, used MATLAB language, in the evaluation of air quality has on the application of high
softwarerelease
- JPEG2000压缩图像质量评价代码，不需要原参考图像，很准确-the image quality assessment method, without the reference image.
daima
- 随机信号谱分析技术实现 随机信号谱估计及质量评价。 离散随机信号通过线性时不变系统时，系统所产生的响应。 功率谱估计的实现方法：自相关函数法、周期图法、Bartlett法、Welch法、MTM法、MUSIC法 -Random signal spectral analysis of random signal spectral estimation and quality evaluation. Discrete random signals through linear system
wave-inter
- 小波插值（全小波插值，小波双线性插值，小波双三次插值及其改进）放大图像，提高图像的分辨率；对插值图像做质量评价（峰值信噪比PSNR；均方信噪比SNR）-Wavelet interpolation (full wavelet interpolation, wavelet bilinear interpolation, cubic interpolation and improved method) to enlarge the image and improve image resolution
math_source
- 模糊数学法在环境空气质量评价中的应用研究-Fuzzy Mathematics to the ambient air quality evaluation of papers
gvalue
- 彩色图像质量评价程序，用于评价彩色图片的清晰度-Color image quality assessment procedures for resolution of color images
BP_network
- BP网络结构设计 实现对大气环境质量评价问题，内含PPT-BP network design and implementation issues of air quality assessment, containing PPT
ssim_index
- 用于图像质量评价的ssim程序，用以对图像的质量进行客观评价，评价结果更接近主观感受-Ssim for image quality assessment procedures for an objective image quality evaluation, evaluation results are closer to the subjective feelings
pingjia
- 图像质量评价，包括图像均方误差、信噪比比较等-Image quality evaluation, including images mean square error, signal to noise ratio comparison
DIIVINE_release
- DIIVINE 目前最先进的无参考图像质量评价软件-DIIVINE the most advanced no reference image quality assessment algorithm
BP-airquality
- 人工神经网络方法在环境质量评价方面的应用大体可分为城市环境质量综合评价、大气环境质量评价、地表水环境质量评价、地下水环境质量评价、湖泊富营养化程度评价、生态环境分类等方面。下面主要列举基于BP算法的多层前馈网在大气环境质量评价中的应用。 许多研究者将基于BP算法的多层前馈网应用于某些城市的大气环境质量评价中，并对比了该方法与模糊决策、灰色聚类及综合评判法的评价结果，证明了BP网络模型用于大气环境质量评价的通用性、合理性、实用性及优越性。-The application of artifici
fangcha
- 用方差分析葡萄酒质量评价的合理性，画出分析图，用置信区间发对数据进行处理。-Variance analysis of the reasonableness of the wine quality evaluation, draw analysis chart sent for processing data with a confidence interval.
Image_quality_assessment
- 无参考图像质量评价，输入图像，输出评价指标，介于0至100之间-image quality assessment
ssim
- 这是最经典的平面图像质量评价的ssim实现，算法实现简单。-image quality assessment
BRISQUE_release
- 无参考图像质量评价，BRISQUE,基于MSCN的提取图片特征-No-Reference Image Quality Assessment in the Spatial Domain
SingularityIndex
- 基于自然场景统计的无参考图像质量评价，此方法可以很好的评价图像质量，与主观评价匹配性很好-No statistics are based on natural scene reference image quality assessment, the evaluation of this method can be very good image quality, very good match with the subjective evaluation
four-indexes
- 几种图像质量评价指标，有平均梯度，峰值信噪比PSnR，全局指数UIQI，Q4-Several image quality evaluation index, an average gradient, peak signal to noise ratio PSnR, global exponential UIQI, Q4
brisque_revised
- 无参考图像质量评价，BRISQUE,基于MSCN的提取图片特征-No-Reference Image Quality Assessment in the Spatial Domain
work
- MATLAB的空气质量评价的应用，数据为贵阳市近年来的天气资料(The application of MATLAB to air quality evaluation, data for weather information in recent years in Guiyang)
bliinds_train_test无参考图像质量评价算法
- 这是一个用MATLAB别写的无参考的图像质量评价算法，仅供参考(This is a non reference image quality evaluation algorithm which is not written by MATLAB for reference only)