搜索资源列表
blur
- blur filter for image in c
RECOVER
- 比较反滤波和维纳滤波对一幅图像复原的效果。从两方面出发，一是对运动模糊和均值模糊复原的能力，二是抗噪能力，各种情况分别都进行了对比-Comparison of inverse filtering and Wiener filtering on an image restoration results. Proceed in two ways, first on the motion blur and the mean fuzzy recovery capability and noise imm
the_sumeryof_multicast
- matlab在图像处理中的应用，包括模糊，锐化，图像增强-matlab in image processing applications, including blur, sharpening, image enhancement, etc.
SUCCESS
- 该程序有很多C#开发的图片处理算法，如阈值，灰度，反色，模糊，锐化等，以及非矩形选框等，在VS2005环境下开发的，所有功能均通过测试，-The program has a lot of C# development of image processing algorithms, such as threshold, grayscale, anti-color, blur, sharpen, as well as non-rectangular box and so on, in the VS2
blurMetric
- The idea is from "The Blur Effect: Perception and Estimation with a New No-Reference Perceptual Blur Metric" Crété-Roffet F., Dolmiere T., Ladret P., Nicolas M. - GRENOBLE - 2007 In SPIE proceedings - SPIE Electronic Imaging Symposium Conf H
SSSS
- 通过建立运动模糊数学模型, 进行了消除运动模糊的仿真实验, 维纳滤波恢复运动模糊图像效果较 好。在图像恢复技术中, 点扩展函数( PSF) 是影响图像恢复结果的关键因素, 所以常常利用先验知识和后验判 断方法估计PSF函数来恢复图像。实验表明在实际恢复过程中如果运动模糊图像混入了噪声, 必须考虑到信噪 比、噪声的自相关函数和原始图像的自相关函数对恢复后图像的影响。-Through the establishment of mathematical model of motion
gaussian
- Gaussian Blur use in image processing and low pass filter.in this source first calculate Gauss Kernel .
CannyEdgeDetector
- canny edge detector is the best edge detection in the image processing field.in the first guassian blur in the image and then use sobel filter to get magnitude image
blurMetric
- calculate blur, in a single image . .called no reference method
SegmentationFinal
- 纹理图像分割，小波编码图像的分割和分析的算法描述。该算法的图像处理后的计划，可以成功地恢复在压缩图像模糊文物纹理的部分。-Texture image segmentation, wavelet coding image segmentation and analysis of the algorithm descr iption. The algorithm for image processing program that can successfully restore the image
doeGaussianBlur
- C# Class to do Gaussian Blur in image.
BID-of-Multichannel
- 盲辨识的模糊和多路冷杉完美的图像恢复 乔治·吉昂奈吉斯，研究员，美国，和罗伯特·希斯，小，成员，美国-Despite its practical importance in image processing and computer vision, blind blur identification and blind image restoration have so far been addressed under restrictive assumptions such a
image deblur and source image
- 图像去模糊处理的matlab源程序，附带源图片。是在经典图像模糊化的基础上进行恢复的，不是盲恢复-Image to fuzzy treatment matlab source, and with the source images. In classic blur image is conducted on the basis of the recovery, not blind recovery
apex_ditecpsf
- 很好的APEX盲恢复程序，用于图像去模糊处理，适用于常见模糊，如高斯模糊、柯西模糊、大气湍流等-Very good APEX blind recovery procedures, used in image to fuzzy processing, apply to common fuzzy, such as a gaussian blur, cauchy fuzzy, atmospheric turbulence, etc
motion-blurring-image-processing
- 运动模糊图像处理,通常我们得到的x光片等可能会存在一些运动伪影，为了更好的得到感兴趣区域，我们需要对图像进行处理-The motion blur image processing,Usually ultrasound images or some X-ray will have some motion artifacts.In order to eliminate the artifact to the influence of the interested region,we need to
Analyzing-Spatially-varying-Blur
- 我们提出一种新方法用于单幅图像的空间变化模糊识别,在图像中的每个局部小块，这个局部模糊被选择在一个候选PSFS有限集中间，用一个极大似然方法。我们打算用广义似然减少参数的数量，用广义奇异值分解限制计算值，但是要对图像做出适当的边界假设。-We present a new approach for spatially varying blur identification using a single image. Within each local patch in the image,
image-registration
- function "match(f,g)" takes two input images and finds out the pattern f in the larger image g. function "blur(f,g)" finds out pattern f in image g and after that blur that specific area of image g. all functions which these two functions call are at
image
- 本人上传的代码是经过验证的，用java语言编写，可以实现jpg,jpeg,gif格式图像的模糊和锐化-The code I upload has been proven. It is written in Java and can sharpen and blur the image which format is jpg,jpeg and gif.
Eliminate-motion-blur-in-the-image
- 消除图像中的运动模糊。学习运动图像模糊的产生原理。自行设定点扩散函数，对某一张图像进行运动模糊，通过任意一种方法，消除以上图像中的运动模糊。-Eliminate motion blur in the image. The learning motion blur generation principle. Set the point spread function, a certain image motion blur, through any of these methods, to e
image-restoration-masterCPP
- 这里的代码实现功能：使用图像复原的方法来去除图像中的离焦模糊现象(Here's the code implementation: image restoration is used to remove defocus blur in the image)