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[Special Effectsnoise

Description: 图片去噪:对一幅图像加入不同的噪声(随机点噪声、椒盐噪声等),选取不同的方法去噪,比如说邻域平均、中值滤波、图像迭加等,比较对于不同的噪声,不同的方法哪种更好-Image denoising: for an image by adding different noise (random-dot noise, salt and pepper noise, etc.), select a different method of denoising, for example, the neighborhood average, median filter, image superposition and so on, compared for different noise, different methods which better
Platform: | Size: 754688 | Author: 郑文 | Hits:

[Special EffectsRadarDataFilter

Description: C++语言写的通用的图像滤波处理类,可以对二维图像进行多达9种不同的滤波功能,包括中值滤波,平均值滤波-C++ Language written in a common type of image filter processing can be carried out on two-dimensional images up to 9 different types of filter functions, including median filtering, average filtering
Platform: | Size: 2048 | Author: zaokun | Hits:

[GDI-BitmapImage

Description: 基于VC的位图图像处理程序,可实现以下功能: 1.图象参数统计:最大值,最小值,均值,直方图; 2.对比度增强:直方图均衡; 3.图象平滑:中值滤波; 4.图象锐化: Sobel算子; 5.图像旋转:将图像旋转任意角度并显示; 6.图象变换:将图象分块(8*8),作DCT变换,并作IDCT; -VC bitmap-based image processing procedures, can realize the following functions: 1. Image parameters statistics: maximum, minimum, average, histogram 2. Contrast enhancement: histogram equalization 3. Image Smoothing: median filter 4. Image sharpening: Sobel operator 5. Image Rotation: Rotate the image at any angle and shows 6. Image Transformation: The image sub-block (8* 8), for the DCT transform, and IDCT
Platform: | Size: 374784 | Author: 姚海涛 | Hits:

[OtherBilateral

Description: bilateral filter. 能夠完整保留邊界資訊而不被模糊-A bilateral filter is an edge-preserving smoothing filter. Whereas many filters are convolutions in the image domain, a bilateral filter also operates in the image s range—pixel values. Rather than simply replace a pixel s value with a weighted average of its neighbors, as for instance the Gaussian filter does, The bilateral filter replaces pixel s value by a weighted average of its neighbors in both space and intensity. This preserves sharp edges by systematically excluding pixels across the discontinuity from consideration.
Platform: | Size: 1141760 | Author: ohrebound | Hits:

[Graph programImage_Smoothing

Description: 所给程序中,先给出一副原始图像,在其中添加椒盐噪声,然后用几种方法进行平滑滤波,包括邻域均值法,邻域中值滤波和K邻域均值滤波,其中的K邻域均值滤波所选掩膜为3*3,K值取5,图片选用board.ti。-Given program, the first is given an original image, in which the added salt & pepper noise, and then use several methods of smoothing, including the neighborhood average method, o-field value filtering and K neighborhood mean filter, where K o domain mean filter mask for the selected 3* 3, K value of taking five, picture selection board.ti.
Platform: | Size: 136192 | Author: hanyantao | Hits:

[Graph programSpatialFrequencyDomainImageEnhancement

Description: 灰度变换增强程序 1.灰度变换增强程序 2.直方图灰度变换 3.直方图均衡化程序举例 4.直方图规定化程序举例 1.线性平滑滤波 2.中值滤波器 3. 4邻域8邻域平均滤波算法 1.低通滤波器 2.布特沃斯低通滤波器图像实例-Enhanced gray-scale transformation procedure 1. Enhanced gray-scale transformation procedure 2. Histogram gray-scale transformation 3. Histogram equalization procedure for example 4. Histogram specification procedure for example 1. Linear smoothing 2. Median filter 3.4 8 neighborhood neighborhood average filter algorithm 1. low-pass filter 2. Butewosi Image examples of low-pass filter
Platform: | Size: 291840 | Author: liu | Hits:

[Special Effectssmooth

Description: 调用opencv库,采用平均滤波法实现图像的平滑化功能-Call opencv library, use of average filtering method for image smoothing function
Platform: | Size: 72704 | Author: leon | Hits:

[matlabaverage-filter

Description: this file include average filter that is one of a filters for remove noise in image processing
Platform: | Size: 8192 | Author: parham | Hits:

[Special Effectsfilter

Description: 1. 用imoise()函数给一幅数字图像加入’salt & pepper’和’Gaussian’噪声2)用3x3,5x5邻域平均平滑对图像进行处理3)用3x3,5x5中值滤波对图像进行处理, 2. 对一幅数字图像采用理想低通、Butterworth低通 、Gaussian低通滤波器进行平滑;对一幅数字图像采用理想高通、Butterworth高通 、Gaussian高通滤波器进行平滑。-1. With imoise () function to a digital image by adding ' salt & pepper' and ' Gaussian' noise 2) 3x3, 5x5 neighborhood average smoothing of the image processing 3) 3x3, 5x5 median filter for image processing , 2. on a digital image with an ideal low-pass, Butterworth low-pass, Gaussian smoothing low pass filter on a digital image using the ideal high-pass, Butterworth high-pass, Gaussian smoothing high-pass filter.
Platform: | Size: 2048 | Author: toilet | Hits:

[Special Effectsnoise

Description: 1. 用 butterworth和理想低通滤波器对受椒盐噪声和高斯噪声污染的图像进行平滑处理, 计算平滑前后的PSNR(峰值信噪比). 2. 用 3x3邻域平均平滑和3x3中值滤波对受椒盐噪声和高斯噪声污染的图像进行平滑处理, 计算平滑前后的PSNR(峰值信噪比). 3. 用 roberts算子和Laplace算子对一图像进行锐化处理, 得到其边缘二值图像.-Salt and pepper noise and Gaussian noise images with butterworth and the ideal low-pass filter for smoothing, calculating smooth before and after the PSNR (peak signal to noise ratio). (2) 3x3 neighborhood average in smoothing and 3x3 median filter images by the salt and pepper noise and Gaussian noise smoothing, computing smooth around the PSNR (peak signal to noise ratio). Roberts operator and Laplace operator on an image sharpening, get the edge binary image.
Platform: | Size: 20480 | Author: Xucheng | Hits:

[Special EffectsMathworks

Description: 详细说明: 读入图像,对于图像进行高斯高通以及低通滤波,显示结果,与原图进行对比-Detail: ch5_1_1: image gray-scale linear transformation (5.1.1) ch5_1_2: image grayscale piecewise linear transformation (5.1.1) ch5_1_3: using the transfer function of the number of forms of dynamic range compression (5.1. 1) ch5_1_4: histogram equalization (5.1.2) ch5_1_5: histogram specification (5.1.2) ch5_2_1: neighborhood average linear smoothing filter method to achieve noise reduction (5.2.2) ch5_2_2: winner filtering method to achieve noise reduction (5.2.2) ch5_2_3: median filtering to achieve noise reduction (5.2.2) ch5_2_4: linear sharpen filter (5.2.3) ch5_2_5: Rui filtering nonlinear (5.2. 3) ch5_3_1: Buterworth low-pass filter (5.3.1) ch5_3_2: Buterworth high-pass filter (5.3.2) ch5_4_1: gray-scale layering of color images to achieve (5.4.2) ch5_4_2: spatial domain gray level- the color transform, image enhancement (5.4.2) ch5_4_3: Mean Filter for each color plane true color image filtering (5.4.3) ch5_5_1: noise image generation (5.5.4) ch5_5_2: the target image generat
Platform: | Size: 2347008 | Author: 王小龙 | Hits:

[Special Effectsa-series-of-programs

Description: 详细说明: ch5_1_1: 图像灰度线性变换 (§5.1.1) ch5_1_2: 图像灰度分段线性变换 (§ 5.1.1) ch5_1_3: 采用对数形式的变换函数进行动态范围压缩 (§5.1.1) ch5_1_4: 图像直方图的均衡化 (§5.1.2) ch5_1_5: 直方图规定化 (§5.1.2) ch5_2_1: 邻域平均的线性平滑滤波法实现降噪 (§5.2.2) ch5_2_2: winner滤波法实现降噪 (§5.2.2) ch5_2_3: 中值滤波实现降噪 (§5.2.2) ch5_2_4: 线性锐化滤波 (§5.2.3) ch5_2_5: 非线性锐滤波 (§5.2.3) ch5_3_1: Buterworth低通滤波器 (§5.3.1) ch5_3_2: Buterworth高通滤波器 (§5.3.2) ch5_4_1: 灰度分层法彩色图像的实现 (§5.4.2) ch5_4_2: 空间域灰度级-彩色变换的方法,进行图像增强 (§5.4.2) ch5_4_3: 均值滤波器对真彩图像的每一个颜色平面进行滤波 (§5.4.3) ch5_5_1: 噪声图像的生成 (§5.5.4) ch5_5_2: 目标图像的生成 (§5.5.4)-Detail: ch5_1_1: image gray-scale linear transformation (5.1.1) ch5_1_2: image grayscale piecewise linear transformation (5.1.1) ch5_1_3: using the transfer function of the number of forms of dynamic range compression (5.1. 1) ch5_1_4: histogram equalization (5.1.2) ch5_1_5: histogram specification (5.1.2) ch5_2_1: neighborhood average linear smoothing filter method to achieve noise reduction (5.2.2) ch5_2_2: winner filtering method to achieve noise reduction (5.2.2) ch5_2_3: median filtering to achieve noise reduction (5.2.2) ch5_2_4: linear sharpen filter (5.2.3) ch5_2_5: Rui filtering nonlinear (5.2. 3) ch5_3_1: Buterworth low-pass filter (5.3.1) ch5_3_2: Buterworth high-pass filter (5.3.2) ch5_4_1: gray-scale layering of color images to achieve (5.4.2) ch5_4_2: spatial domain gray level- the color transform, image enhancement (5.4.2) ch5_4_3: Mean Filter for each color plane true color image filtering (5.4.3) ch5_5_1: noise image generation (5.5.4) ch5_5_2: the target image generat
Platform: | Size: 8192 | Author: 王小龙 | Hits:

[matlabfenshujie

Description: ,对掌纹图像去噪主要采用低通滤波方法或邻域平均滤波方法,这两种方法可以有效地抑制噪声,但同时也滤除了一些边缘信息,而且还会发生一定程度的边缘模糊现象。因此这两种方法适合于提取掌纹中的主线(掌纹中最粗最长的若干条)特征,而不适合于需要保留更多边缘信息的特征提取。小波变换是目前比较流行的一种信号处理方法。-Palmprint image denoising using low-pass filtering method or the neighborhood average filter method, these two methods can effectively suppress noise, but also filter out some of the edge information, but also some degree of edge blurring. Therefore, these two methods suitable characteristics in the extract palmprint mainline (palmprint certain sections of the thickest and longest), but not for the need to retain more edge information feature extraction. The wavelet transform is a signal processing method is more popular.
Platform: | Size: 13616128 | Author: 张静 | Hits:

[Special EffectsDigital-Image-Processing

Description: 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 6.在图像中生成一个矩形,然后用模板匹配法找出矩形位置。使用SSDA或改进的SSDA法。-1) open a BMP file, change the gray values ​ ​ of its local area, and save it as a BMP file, the request shows the original BMP images and BMP images. 2. Programming image Fourier high-pass, low-pass filtering. 3 Open an image, add salt and pepper, Gaussian noise, and then use the neighborhood average, median filter, K adjacent average method for smoothing 4 Open an image using the Roberts gradient method, Sobel operators and Laplacian sharpening for, and compare the results. 5 to write a program, Huffman coding of the input image, the display of the original image entropy, and the average code word length of the encoded, and be able to reconstruct the image according to the coding 6. Generate a rectangle in the image, and then use the template matching method to identify the position of the rectangle. Using SSDA or improved SSDA method.
Platform: | Size: 909312 | Author: fei | Hits:

[Video CaptureMeanFilter_RGB

Description: average filter for image denoising for true color image.
Platform: | Size: 1024 | Author: muth85cnet | Hits:

[matlabgussi-avg-fre-err

Description: Generate the code for adding user defined Gaussian Noise (in dB) and a. Filter out the same using average filter (generate function) b. Determine the frequency plot c. Determine error image, SNR and PSNR
Platform: | Size: 62464 | Author: Rokibul Ahmed | Hits:

[Special EffectsGaussian

Description: 高斯滤波是一种线性平滑滤波,适用于消除高斯噪声,广泛应用于图像处理的减噪过程。通俗的讲,高斯滤波就是对整幅图像进行加权平均的过程,每一个像素点的值,都由其本身和邻域内的其他像素值经过加权平均后得到。高斯滤波的具体操作是:用一个模板(或称卷积、掩模)扫描图像中的每一个像素,用模板确定的邻域内像素的加权平均灰度值去替代模板中心像素点的值。-Gaussian smoothing filter is a linear filter for the elimination of Gaussian noise, the noise reduction process is widely used in image processing. Popular speaking, a Gaussian filter to the whole image is a weighted average of the process, the value of each pixel, both by itself and other neighborhood pixel values obtained after weighted average. The specific operation Gaussian filter is: a template (or a convolution mask) to scan each pixel in the image, a weighted average gray value of the neighborhood is determined using a template to replace the pixel value of the center pixel of the template.
Platform: | Size: 1024 | Author: 梅兰竹菊 | Hits:

[Special Effectslinyupingjun

Description: 邻域平均法用于图像的去噪滤波,有良好的效果,程序可以直接运行-Neighborhood average method for image denoising filter, with good results, the program can be run directly
Platform: | Size: 1024 | Author: 蔺潇榕 | Hits:

[Special Effectstutu

Description: 本程序实现了图像处理的几个功能,如图像增强、图像安全、图像复原。其中用的算法有灰度变换增强、直方图均衡化处理、中值滤波滤波、均值滤波、顺序滤波、自适应滤波等。-This procedure achieved several image processing functions, such as image enhancement, image security, image restoration. Among them with the algorithm has gray level transformation, histogram equalization, median filter for filtering, average filtering and order filtering and adaptive filtering, etc.
Platform: | Size: 240640 | Author: flynn | Hits:

[Industry researchBlood-Vessel-Extraction-For-Retinal-Images-

Description: This paper presents an automated blood vessel detection method the fundus image. The method first performs some basic image preprocessing tasks on the gray-scale of the retinal image. The blood vessels are highlighted using by using contrast enhancement and average filter. The performance of the proposed method is tested by applying it on retinal images Digital Retinal Images for Vessel Extraction (DRIVE)database. Accuracy of the proposed method is found to be higher than the other methods which imply that the proposed method is more efficient and accurate. -This paper presents an automated blood vessel detection method the fundus image. The method first performs some basic image preprocessing tasks on the gray-scale of the retinal image. The blood vessels are highlighted using by using contrast enhancement and average filter. The performance of the proposed method is tested by applying it on retinal images Digital Retinal Images for Vessel Extraction (DRIVE)database. Accuracy of the proposed method is found to be higher than the other methods which imply that the proposed method is more efficient and accurate.
Platform: | Size: 429056 | Author: kvmanas | Hits:
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