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sfr2
- sfrmat is a Matlab function that provides a spatial frequency response* (SFR) from a digital image file containing a slanted-edge feature. The specific edge-gradient algorithm follows the intent of the standard ISO 12233, developed by Technical Commi
ronghepingjiazhibiao12.rar
- 很全的图像融合指标，综合熵、空间频率、互信息等等，一共7种！和两幅源图像！每个程序都测试过，效果很好，直接出结果,Are all indicators of image fusion, integrated entropy, spatial frequency, mutual information, etc., a total of 7! And the two source image! Each program is tested with good results, directly r
MATLAB1
- 根据)EF 特性中的对比度敏感度， 即空间频率特性曲线，对图像进行二维多级小波分解，由分解后的各小波分量，提取各频段相应的亮 度、清晰度和相关度指标；然后将这三个指标的几何平均与频段加权系数的内积做算术平均，以此作 为图像质量的综合评价指标-According to) EF characteristic of contrast sensitivity, that is spatial frequency characteristic curve, the image is two-d
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
FusionEvaluation
- Please run Demo_evaluation.m This toolbox contains Matlab files that implement the image fusion criteria used in my paper Qu Xiao-Bo, YAN Jing-Wen, XIAO Hong-Zhi, ZHU Zi-Qian. Image Fusion Algorithm Based on Spatial Frequency-Motivated P
ImageEnhencementUsingIntensityTransformations
- 本实验要求使用强度变化方法对图像进行增强。图像增强的是要目标是处理图像，使其比原始图像更适用于特定应用，图像增强的方法分为两大类，空间域方法和频域方法，“空间域”一词是指图像平面本身，这类方法是以图像像素的直接处理。“频域”处理技术是以修改图像的傅里叶变换为基础的。本实验采用的对数变换和指数变换是对前一种方法的应用。-This experiment requires the use of intensity changes in methods of image enhancement. Ima
LaplacianPyramid
- Abstract—We describe a technique for image encoding in which local operators of many scales but identical shape serve as the basis functions. The representation differs from established techniques in that the code elements are localized in spatial fr
mimo_sim
- MIMO 系统仿真，对时变信道的自适应调制-erq.m : function for ERQ algorithm in MIMO systems space_wf.m : function for spatial domain power waterfilling st_wf.m : function for spatial and temporal domain waterfilling MIMO_rate.m : Plot spectral efficiency vs SNR f
dct
- JPEG压缩算法的核心是“视觉保真”原理，利用人类视觉系统特征进行处理，以达到最大图像数据压缩效果，实际上就是去除那些人眼不易觉察的信息。图像的空间频率对人的视觉至关重要，采用离散余弦变换可将图像分解成一组波，每个波有一个不同的空间频率，这样可以去除人类眼睛觉察不到的信息，而且还可使系统只保留重要的信息。-JPEG compression algorithm is the core of " visual fidelity" principle, the use of the
capacitymimo
- This paper deals with the capacity behavior of wireless Orthogonal Frequency Division Multiplexing (OFDM)-based spatial multiplexing system when considering realistic channel delay profiles. In both the SISO and the MIMO contexts, we compare the
1111
- 数字图象处理教程 INTRODUCTION 4 DIGITAL IMAGE DEFINITIONS 5 COMMON VALUES 6 CHARACTERISTICS OF IMAGE OPERATIONS 7 TYPES OF OPERATIONS 7 TYPES OF NEIGHBORHOODS 8 VIDEO PARAMETERS 9 TOOLS 9 CONVOLUTION 10 PROPERTIES OF CONVOLUTION 10 FOUR
image_denoise
- 首先介绍了图像中噪声的产生及与图像信号相关的噪声的分类，然后分别讨论了用于图象平滑去噪的空间域平滑处理：高斯滤波，超值像素滤波、中值滤波，和频率域平滑处理：理想低通滤波和Butterworth低通滤波处理。继而介绍了各种处理方法的程序实现，并对各种方法的去噪性能进行了比较。-this program introduce the generation ofimage noise and associated noise classification with the image signal ,
2
- 基于Gabor变换的图像纹理识别。 提出了一种改进的Gabor变换的图像纹理增强算法，将空域的纹理图像变换到联合空间频率域并将联合空间 频率域的能量分布作为掌纹的特征，Gobar滤波器在频域内对子块其主方向上频率能量分布进行滤波，特征向量进行了匹配 识别，增强特征纹线信息并对核心区域进行多方向空间频率能量滤波合成，同时也对滤波算法进行了优化，有效地减少了运 算量。-Gabor transform based image texture recognition. An improv
DIP
- 数字图像处理 空间/频率域滤波 霍夫变换 骨架细化法 膨胀与腐蚀-Digital image processing, spatial/frequency domain filtering Hough transform matrix expansion and corrosion thinning France
imageenhancement
- 图像增强 灰度变换增强 空域滤波增强 频域增强 色彩增强 小波增强 -Enhanced gray-scale image enhancement transform spatial filter to enhance the frequency domain to enhance color enhanced wavelet enhanced
DIPsystem
- 各种的图像处理函数，图像的灰度变换，图像的正交变换，空域滤波，频域滤波，以及特效滤波，直接可用无需修改。-Variety of image processing functions, image gray level transformation, image orthogonal transform, spatial filtering, frequency domain filtering, and special effects filters, can be used directly
tuxiangchuli
- 两个简单程序，一个是在空域和频域分别实现了两个矩阵的卷积。另一个程序主要是为了查看几个模板的空域及频域响应形式，方便理解-Two simple procedures, one is in the spatial and frequency domain is realized for the convolution of two matrices. Another program is mainly to see the airspace of several templates and fre
ImageProcessing
- 1 绪论 2 数字图像基础 3 空间域图像增强 4 频率域图像增强 5 图像复原 6 彩色图像处理 7 小波变换和多分辨率处理 8 图像压缩 9 形态学图像处理 10 图像分割 11 表示与描述 12 对象识别-1 Introduction 3 2 digital image based on spatial frequency domain image enhancement image enhancement 4 5 6 Color image p
spatial domain filter
- All images and pictures contain spatial frequencies. Most of us are familiar with some type of frequency such as the 60-cycle, 110-volt electricity in our homes. The voltage varies in time as a sinusoid, and the sinusoid completes a full cycle 60 tim
Frequency Filtering
- The reason for doing the filtering in the frequency domain is generally because it is computationally faster to perform two 2D Fourier transforms and a filter multiply than to perform a convolution in the image (spatial) domain. This is particularly