搜索资源列表
dehaze.rar
- verify the idea of <Single Image Dehazing>, which has good result for the haze image recover.,verify the idea of <Single Image Dehazing>, which has good result for the haze image recover.
antongdao
- 应用了一种简单但有效的图像先验规律即暗原色先验规律，来为单幅图像去雾。-Application of a simple but effective rules that dark color image prior law prior to the single image to the fog.
Code-for-Defrog
- 香港中文大学Dark channel prior算法实现图像的去雾-Chinese University of Hong Dark channel prior to fog the image algorithm
darkchannel
- 用matlab实现了暗通道图像增强，完整源代码，出自暗通道增强算法的提出者。-Dark-channel image enhancement, complete source code from the authors of the dark channel enhancement algorithms.
dark_channel_verify
- verify the idea of Single Image Haze removal Using Dark Channel prior, which is the best paper of CVPR in 2009 conference.
darkchannelpriordehazing
- 基于暗原色先验的单一图像去雾算法 香港中文大学的一篇论文-dark channel prior dehazing single image dehazing using dark channel prior
image-dehazing-based-on-opencv
- Kaiming He, Jian Sun, Xiaoou Tang. Single Image Haze Removal Using Dark Channel Prior 大致内容是提出了一个叫做暗原色先验的东西来对有雾图像进行处理，十分巧妙，有兴趣者可以看看。这里使用OpenCV实现文中的去雾算法，然而论文提到的soft matting未在本程序中实现。 -This is a source code of paperKaiming He, Jian Sun, Xiaoou Tang
Medical-Image-Segmentation
- 基于Snake模型的图像分割技术是近年来图像处理领域的研究热点之一。Snake模型承载上层先验知识并融合 了图像的底层特征，针对医学图像的特殊性，能有效地应用于医学图像的分割中。本文对各种基于Snake模型的改进算法和 进化模型进行了研究，并重点梳理了最新的研究成果，以利于把握基于Snake模型的医学图像分割方法的脉络和发展方向-Snake model based image segmentation image processing technology in recent years
hazeremoval
- 这是一个对图像进行去雾的程序，是论文Single Image Haze Removal Using Dark Channel Prior的源程序-This is an image to the fog of the program, is the thesis Single Image Haze Removal Using Dark Channel Prior source
code-and-image
- 何凯明的《Single Image Haze Removal Using Dark Channel Prior》论文中的代码，基于暗原色先验的图像去雾算法，对户外图像去雾有很好的效果-this code is of the paper"Single Image Haze Removal Using Dark Channel Prior",the function is removing haze based on Dark Channel Prior algorithm ,
Image-deconvolution-prior
- 本源码是利用Sparse Prior复原图像的方法,其中包括频域和空域的复原比较,源码中有相应的文章Deconvolution using natural image priors-Deconvolution using natural image priors
ADOOperatePic2
- 使用ADO从数据库中读出BLOB数据（图像）,先前有上传一个 使用ADO向数据库添加BLOB数据（图像） 的示例代码,这个与之配对,很好的VC6.0示例代码.-Use ADO to read from the database BLOB data (image), prior to upload a database using ADO to add BLOB data (image) of the sample code, this with the matching VC6.0 good s
z5
- 摘 要 运动模糊恢复就是利用运动模糊退化的某种先验知识来重建或恢复原有图像 在运动模糊的点扩散函数未知的情况下 : 。 , 估计运动模糊的点扩散函数是运动模糊恢复的前提和关键 从傅立叶变换的角度对匀速直线运动模糊图像的点扩散函数在频域 。 论证了点扩散函数在频域内的零点特性及模糊图像两次傅立叶同态变换后的方向特性 并提出了利用这中的特点做了理论分析,些特性进行运动模糊方向估计的方法及两种模糊距离的估计方法 实验结果证明了所提出方法的有效性-Abstract motion blur
sift1
- 针对现有的图像复制遮盖篡改检测算法需要某些先验信息、对后处理操作失效且计算量大等问题, 借鉴图像匹配技术中的SIFT(scale invariant feature transform)特征匹配算法,首次提出将其用于检测复制 遮盖的篡改操作。 -Cover the existing image copy for tamper detection algorithm needs some prior information on the calculation of post-proc
BayesianCoSegmentationOfMultipleMRImages
- 分割是在MRI analysis.We的基本问题之一，同时考虑了多种MR图像分割，其中，例如，可能是一个系列的问题经过一段时间的扫描相同的组织（的2D/3D）图像，图像的数量，或不同的切片图像的对称部分。 MR图像的多是分割份额常见的结构信息，因此他们可以协助彼此分割的程序。我们提出了一个贝叶斯共同分割算法在共享的信息整个图像是通过利用马尔可夫随机场前，和吉布斯采样后采样是有效的聘用。由于我们的共同拉动分割算法考虑到所有的图像信息的同时，它提供比个人更准确和坚实的结果分割，如支持从模拟和实际结果
gaborwavelet
- Gabor wavelet transform applied to feature extraction of ophthalmic images. We investigate a new approach for measuring ocular refractive errors (astigmatism, near-sightedness and shortsightedness) from images of the human eye [1]. This ap
SingleImageHazeRemovalUsingDarkChannelPrior
- 该论文是CVPR2009最佳论文，提出了一种新的图像去雾方法。-In this paper, we propose a simple but effective image prior- dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of the haze-free outdoor images. It is bas
Robust-Web-Image-Super-Resolution
- The MATLAB implementation of anistropic diffusion regularization used for smoothing image prior to interpolating
A-Novel-Image-Interpolation-Method
- the noise deteriorates the interpolation performance in digital images, it is effective to employ denoising prior to the interpolation. In this paper, we propose a novel interpolation framework in which denoising and image sharpening methods
A Fast Single Image Haze Removal Algorithm
- Single image haze removal has been a challenging problem due to its ill-posed nature. In this paper, we propose a simple but powerful color attenuation prior for haze removal from a single input hazy image. By creating a linear model for modeling