搜索资源列表
DargahiaDeshpande
- Cost effective digital cameras use a single-image sensor, applying alternating patterns of red, green, and blue color filters to each pixel location. The problem of reconstructing a full three-color representation of color images by estimating the mi
asgmt2
- For a 24-bit color image (Lena.bmp), statistics all used colors in this image, design the median-cut algorithm to generate a lookup table. And convert the 24-color image to 8-bit index image, compare the difference between them.
ImageCompare
- 基于.NET的人脸图形比对，通过上传两张bmp格式的图片，可以检测两张是否一致。-Image Compare
image-seg
- matlab 黑白图像的分割 图像边际增长的描述 & Compare the seed with its 8-connected neighbours. -hand Made Background
medianfilt
- Its median filter/ MATLAB function for implementing median filtering of an image. Add salt and pepper noise to it. Apply the median filtering to the resulting image. Compare the results.
Image-Inpainting
- ：针对TV模型修复算法只沿梯度垂直方向扩散，容易在平滑区域引入阶梯效应，迭代效率低，易产生假边缘的缺点，分析比较了TV图像修复模型的性能，提出了一种改进的图像修复算法。-Abstract：TV image inpainting only repairs algorithm along the vertical direction，making diffusion gradi— ent in smooth area into stair step effect，reducing iterati
compare
- 基于小波变换的压缩感知图像处理,及三种重构算法.-Compression based on wavelet transform the perceived image processing and three reconstruction algorithm.
filters-compare
- 装载一张图像，使用4种不同滤波器 (见原理部分) 并显示平滑图像 -Load an image, use four different filters (average filter, median filter, gaussian filter, bilateral filter), and display the smooth image
Csharp-images-compare-code
- 基于C#的图片识别，图片比较实现代码，已经在VS2012测试通过，可以放心使用-C#-based image recognition, image comparison implementation code
estimate-the-defocus-map-in-an-image
- 估计是有用的图像散焦几个应用程序 包括去模糊,模糊放大,测量图像 质量和景深分割。在本文中,我们 现在一个简单而有效的方法来评估一个分散注意力 模糊映射关系为依托的对比 图像梯度在当地的图像区域。我们把这种关系 当地的对比之前。我们的方法的优势 是,它不需要过滤银行或频率分解 输入图像 相反,我们只需要比较 当地的梯度概要文件与当地的对比。我们讨论 背后的想法之前,展示其局部对比度 在各种各样的实验效果-Image defocus estimation is useful
image
- 本文在众多图像分割方法中选择了研究比较早的边缘检测方法来实现图像的分割，并且比较了各种边缘检测算子的检测效果。-This text choose EdgeDetection method that is a study early for image segmentation to carry out Detection image, and compare every kind of edge detection technique.
Digital-Image-Processing
- 1 打开一个BMP文件，将其局部区域的灰度值进行改变，另存为一个新的BMP文件，要求显示出原BMP图像和新BMP图像。 2．编程实现图像傅立叶高通、低通滤波。 3.打开一幅图像，添加椒盐、高斯噪声，然后使用邻域平均法、中值滤波法、K邻近平均法进行平滑 4.打开一幅图像，利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。 5.编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像
Compared-5-Image-search-Engines
- ：本文从搜索范围、检索方法、工作原理、结果描述、特点、效果评价等6个方面对5种中外网络图像搜索引擎即Lyco~、 WebSEEK、AmaziIlg Picture Machine、Ixquick、天网中英文FTP进行比较和评析，从而较为详细地介绍了网络图像搜索引擎的原理、优缺点和未来发展趋势。-This article is from the Search and retrieval method works, the results described characteristics, t
Histogram-compare
- 基于opencv和vs2008实现了两幅图像进行直方图对比，可以检测相似度-Based opencv and vs2008 achieve the two image histogram contrast, can detect similarity
Energy-Efficient-Cooperative-Image-Transmission-(
- We compare the energy efficiency of some transmission schemes in wireless sensor networks. By constraining the system to end-to-end throughput requirements, we assume that the nodes in multi-hop and cooperative schemes operate at a spectral e
Remote-Sensing-Image-Processing
- 基于偏微分方程的遥感图像处理方法 利用测试图像对算法进行仿真验证，并与其它图像去噪算法进行去噪效果比较，通过数值对降噪效果进行评估，得出该方法不仅能够去除噪声而且能够很好的保护图像的边缘等细节信息，弥补了高阶非线性扩散去噪方法导致边界模糊的缺陷，提高了遥感图像的质量，改善了视觉效果-Simulation algorithm of remote sensing image processing methods based on partial differential equations usin
DIP_wavelet-transform
- 利用二维Mallat小波分解原理，对一幅标准图像进行3级分解，获取小波高/低频系数，并分别用低频分量LL1、LL2、LL3小波系数进行图像重建，分别计算这三种情况和原始图像比较地PSNR-2D Mallat wavelet decomposition principle, a standard image 3 decomposition, to obtain of Wavelet high/low frequency coefficients, and the low-frequency com
compare
- 在数字图像处理中，运用MATLAB中的函数compare可以用来计算图像压缩前后的误差和直方图-In digital image processing using MATLAB functions compare the error and histogram can be used to calculate the image before and after compression
compare-pictures
- Source Code Compare Image with Delphi
Image-histogram-drawing
- 图像直方图的绘制，此程序提供两种方法，一是利用matlab自带得工具箱绘制，另一种是利用统计学的方法编程实现，最后对两种方法进行比较-Image histogram drawing, this program provides two methods, one using matlab toolbox comes too draw, another is the use of statistical methods to program implementation, and finally t