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[Special Effectsch_vcCOMM

Description: 这个程序解决BMP图像的显示、反色、转灰度图、加高斯噪声、锐化、平滑等功能。注意:处理前要先将图像转成灰度图,否则不能处理。-this resolution BMP images showed that the anti-color, the gray level to increase Gaussian noise, sharpening, smoothing, and other functions. Caution : Prior to the conversion of image gray level they can handle.
Platform: | Size: 2140160 | Author: 陈慧 | Hits:

[GDI-BitmapImage-deconvolution-prior

Description: 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
Platform: | Size: 817152 | Author: 吴晓明 | Hits:

[ADO-ODBCADOOperatePic2

Description: 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 sample code.
Platform: | Size: 645120 | Author: hsc | Hits:

[Documentsz5

Description: 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 is to use motion blur to restore the degradation of some prior knowledge to rebuild or restore the original image in the motion blur point spread function of the unknown circumstances:. , It is estimated that the motion blur point spread function is a prerequisite for the restoration of motion-blurred and critical perspective from the Fourier transform of the uniform linear motion blurred image of the point spread function in the frequency domain. Demonstrated that the point spread function of the zero in the frequency domain characteristics and the two blurred images after Fourier transform with the direction of state properties and proposed use of the characteristics of this has done a theoretical analysis, some characteristics of the estimated direction of motion-blurred and the two kinds of fuzzy distance estimation results proved the effectiveness of the proposed method
Platform: | Size: 956416 | Author: zy | Hits:

[matlabdark_channel_verify

Description: verify the idea of Single Image Haze removal Using Dark Channel prior, which is the best paper of CVPR in 2009 conference.
Platform: | Size: 1024 | Author: guhuxiang | Hits:

[GDI-Bitmapdehaze

Description: verify the idea of <Single Image Dehazing>, which has good result for the haze image recover.
Platform: | Size: 1024 | Author: 沧海一笑 | Hits:

[matlabdarkchannelpriordehazing

Description: 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
Platform: | Size: 13221888 | Author: 李方 | Hits:

[Industry researchsift1

Description: 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-processing and the failure of large issues, draw the image matching technology in the SIFT (scale invariant feature transform) features matching algorithm, first proposed The cover copy for the detection of the tampering operation.
Platform: | Size: 466944 | Author: LIDAN | Hits:

[Special EffectsBayesianCoSegmentationOfMultipleMRImages

Description: 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的例子。-Segmentation is one of the basic problems in MRI analysis.We consider the problem of simultaneously segmenting multiple MR images, which, for example, could be a series of (2D/3D) images of the same tissue scanned over time,different slices of a volume image, or images of symmetric parts. The multiple MR images to be segmented share common structure information and hence they are able to assist each other in the segmentation procedure. We propose a Bayesian co-segmentation algorithm where the shared information across images is utilized via a Markov random field prior, and a Gibbs sampler is employed for efficient posterior sampling. Because our co-segmentation algorithm pulls all the image information into consideration simultaneously,it provides more accurate and robust results than the individual segmentation, as supported by results from both simulated and real examples.
Platform: | Size: 812032 | Author: 命运 | Hits:

[Othergaborwavelet

Description: 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 approach uses Support Vector Machines (SVMs) to analyse data features extracted from images of the eye acquired with a technique known as Hartmann-Shack [2] and output measures for the eye´ s refractive errors. Prior to analysis and feature extraction an image processing stage takes place to identify and crop the region of interest considering domain spatial and geometrical information. Then a set of relevant image features are extracted using wavelet and Garbor Transforms. These features are finally fed into a SVM module for analysis that provides a diagnosis of refractive errors present in the ocular globe under investigation.
Platform: | Size: 7168 | Author: Real | Hits:

[matlabquwu

Description: 此程序是“Single Image Haze Removal Using Dark Channel Prior”的程序,效果较为理想-“Single Image Haze Removal Using Dark Channel Prior”
Platform: | Size: 178176 | Author: zy | Hits:

[Special EffectsSingleImageHazeRemovalUsingDarkChannelPrior

Description: 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 based on a key observation- most local patches in haze-free outdoor images contain some pixels which have very low intensities in at least one color channel. Using this prior with the haze imaging model, we can directly estimate the thickness of the haze and recover a high quality haze-free image. Results on a variety of outdoor haze images demonstrate the power of the proposed prior. Moreover, a high quality depth map can also be obtained as a by-product of haze removal.
Platform: | Size: 2643968 | Author: steven | Hits:

[matlabRobust-Web-Image-Super-Resolution

Description: The MATLAB implementation of anistropic diffusion regularization used for smoothing image prior to interpolating
Platform: | Size: 22528 | Author: mita | Hits:

[matlabantongdao

Description: 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.
Platform: | Size: 1024 | Author: 林雪 | Hits:

[Special EffectsMedical-Image-Segmentation

Description: 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 one of the hot areas of research. Snake model and the integration of prior knowledge of the upper bearing the image of the underlying characteristics of the special nature of medical image can be effectively applied to medical image segmentation. In this paper, a variety of improved algorithm based on Snake Model and evolutionary models were studied and focused on combing the latest research results, to facilitate the grasp of Snake Models Based on Medical Image Segmentation context and development. .
Platform: | Size: 291840 | Author: fuky | Hits:

[matlabA-Novel-Image-Interpolation-Method

Description: 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 are embedded. In the proposed framework, the image is first decomposed using the bilateral filter into the detail and base layers which represent the small and large scale features, respectively. The detail layer is adaptively smoothed to suppress the noise before interpolation and an edge-preserving interpolation method is applied to both layers. Finally, the high resolution image is obtained by combining the base and detail layers. Experimental results show that the proposed algorithm outperforms the conventional methods
Platform: | Size: 1034240 | Author: prabhakaran | Hits:

[Special EffectsMARK_Dehaze

Description: 2009年CVPR最佳论文《Single image haze removal using dark channel prior》暗原色图像去雾的算法实现。与原文不同的是本程序没有完成最后matting细化效果的部分,但仍能够达到视觉上可以接受的去雾效果。计算机视觉课程作业。工程运行于VS2008环境,需要OpenCV支持。Debug目下exe文件可以直接双击运行查看结果。-CVPR 2009 Best Paper " Single image haze removal using dark channel prior" to the dark fog of the primary image algorithm. The difference is that with the original program did not complete the final matting refinement part,yet haze-removal result is visually acceptable. Visual course work. This project runs under VS2008 with OpenCV. Double click the exe file under Debug folder to check the final result.
Platform: | Size: 2708480 | Author: | Hits:

[OpenCVimage-dehazing-based-on-opencv

Description: 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. Single Image Haze Removal Using Dark Channel Prior It has a good effect an removing fog of an image,but the method of soft matting cannot be solved
Platform: | Size: 75776 | Author: 张东海 | Hits:

[OtherDark-Channel-Prior

Description: 去雾算法比较好的文章,英文原版文章,可以网络查询中文算法介绍-propose a simple but effective image prior-dark channnel prior
Platform: | Size: 6623232 | Author: 刘丽 | Hits:

[matlabA Fast Single Image Haze Removal Algorithm

Description: 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 the scene depth of the hazy image under this novel prior and learning the parameters of the model with a supervised learning method, the depth information can be well recovered.
Platform: | Size: 2496512 | Author: Deep123 | Hits:
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