Description: 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 Committee ISI/TC 42, for resolution measurements for electronic still pictorial cameras. Platform: |
Size: 256074 |
Author:杨样 |
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Description: 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 Committee ISI/TC 42, for resolution measurements for electronic still pictorial cameras.-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 Committee ISI/TC 42 , for resolution measurements for electronic still pictorial cameras. Platform: |
Size: 256000 |
Author:杨样 |
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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 |
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Description: 本程序包含了一些增强算法，空间域和频率域增强，以及生成噪声的一些程序-This procedure contains a number of enhancement algorithm, spatial domain and frequency domain to enhance, as well as some of the procedures to generate noise Platform: |
Size: 1024 |
Author:zhangzhehui |
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Description: 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. Image enhancement is to target is to deal with images, so that it more than the original image is more applicable to specific applications, image enhancement method is divided into two categories, spatial domain methods and frequency domain methods, Platform: |
Size: 808960 |
Author:jhm |
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Description: 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 frequency as well as in space.-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 frequency as well as in space. Platform: |
Size: 794624 |
Author:Tin Ho |
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Description: 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 for various cases
MIMO_ber.m : Plot BER vs SNR for ERQ algorithm
Report_figN.m : Plot figure N in final report (N=1,2,...,8) Platform: |
Size: 18432 |
Author: jonathan Peng |
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Description: 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 characteristics of human visual system to deal with in order to achieve the greatest effect of the image data compression is actually not easy to remove the eyes of those who perceived the information. Image spatial frequency is essential to human vision, the use of discrete cosine transform image can be broken down into a set of waves, each wave has a different spatial frequency, so aware of the human eye can not see the removal of information, but also to make system, only the important information. Platform: |
Size: 1024 |
Author:huoxinglin |
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Description: 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 deterministic, ergodic and outage
capacities for the channel with realistic profile to the one with simplified profile Platform: |
Size: 153600 |
Author:Safa |
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Description: 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
FOURIER TRANSFORMS 10
PROPERTIES OF FOURIER TRANSFORMS 11
IMPORTANCE OF PHASE AND MAGNITUDE 14
CIRCULARLY SYMMETRIC SIGNALS 15
EXAMPLES OF 2D SIGNALS AND TRANSFORMS 15
STATISTICS 16
PROBABILITY DISTRIBUTION FUNCTION OF THE BRIGHTNESSES 16
PROBABILITY DENSITY FUNCTION OF THE BRIGHTNESSES 16
AVERAGE 18
STANDARD DEVIATION 19
COEFFICIENT-OF-VARIATION 19
PERCENTILES 19-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
FOURIER TRANSFORMS 10
PROPERTIES OF FOURIER TRANSFORMS 11
IMPORTANCE OF PHASE AND MAGNITUDE 14
CIRCULARLY SYMMETRIC SIGNALS 15
EXAMPLES OF 2D SIGNALS AND TRANSFORMS 15
STATISTICS 16
PROBABILITY DISTRIBUTION FUNCTION OF THE BRIGHTNESSES 16
PROBABILITY DENSITY FUNCTION OF THE BRIGHTNESSES 16
AVERAGE 18
STANDARD DEVIATION 19
COEFFICIENT-OF-VARIATION 19
PERCENTILES 19
MODE 20
SIGNALTONOISE RATIO 20
CONTOUR REPRESENTATIONS 21
CHAIN CODE 21
CHAIN CODE PROPERTIES 22
CRACK CODE 22
RUN CODES 23
PERCEPTION 23
BRIGHTNESS SENSITIVITY 23
WAVELENGTH SENSITIVITY 24
STIMULUS SENSITIVITY 24
SPATIAL FREQUENCY SENSITIVITY 25
COLOR SENSITIVITY 26
STANDARD OBSERVER 26
CIE CHROMATICITY COORDINATES 26
OPTICAL ILLUSIONS 28
IMAGE SAMPLING 30
SAMPLING DENSITY FO Platform: |
Size: 2639872 |
Author:sean |
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Description: 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 , and then discussed separately for the spatial domain image denoising smoothing: Gaussian filtering, pixel value filtering, median filtering, and frequency of domain smoothing: an ideal low-pass filter and Butterworth low-pass filtering. Then describes the procedures for implementation of various treatment methods, and de-noising performance of various methods were compared. Platform: |
Size: 4809728 |
Author:YEBIQING |
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Description: 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 results from Platform: |
Size: 54272 |
Author:李希宁 |
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Description: 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 improved image of the Gabor transform texture enhancement algorithm, the airspace of the texture image transform frequency domain to the joint space and joint space frequency domain characteristics of the energy distribution as a palm, Gobar filter pair in the frequency domain block its the main direction of the energy distribution of the frequency filtering, feature vectors were matched to identify, enhance the features of ridge information as well as the core region of multi-dimensional spatial frequency energy filter synthesis, but also on the filtering algorithm has been optimized, effective in reducing the computational complexity. Platform: |
Size: 820224 |
Author:爱学习 |
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Description: 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 Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain. Acta Automatica Sinica, Vol.34, No.12, pp: 1508-1514.Dec.2008. Platform: |
Size: 485376 |
Author:周忠心 |
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Description: 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 without modification. Platform: |
Size: 12996608 |
Author:zhangli |
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Description: 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 frequency domain response form, to facilitate understanding Platform: |
Size: 1024 |
Author:孟 |
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Description: 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 so as the filter size increases.
In what follows it is assumed that the reader is familiar with the Discrete Fourier Transform, its properties, and the transforms of commonly used functions (delta, noise, rectangular pulse, step, etc). Platform: |
Size: 208896 |
Author:faisel |
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Search - spatial frequency