Search - image restoration P

Search - image restoration P - List

[2D Graphic] Inpainting DL : 0: 采用M.Bertalmio and G.Sapiro论文中算法的图像修复C++代码。需要提供原始破损图像和破损区域的掩模图像，修复结果实时显示。-used Bertalmio and G. M. Sapiro papers algorithm for image restoration generation C yards. The need for the original image and damaged the damaged region mask images, results, real-time repair.
Update : 2025-02-17 Size : 1.22mb Publisher : 屈磊
[Documents] ImageRestoration.ppt DL : 0: 图像复原技术是图像处理中非常重要的内容，该ppt较为全面的介绍了各种算法的原理及实现-Image Restoration image processing technology is a very important element, the more comprehensive presentation ppt various algorithm principle and realization
Update : 2025-02-17 Size : 2.41mb Publisher : 宋生
[Documents] gansehtu DL : 1: 研究了基于块填充的图像修复算法,修复图像的质量容易受到待修复区域边界像素修复顺序的影响,通过分析待修复区域像素点所在模块的图像特征,改进了填充算法的优先权, 分别是基于P-Laplace算子和Euler’s elastica模型的优先权计算方法的改进。实验结果证实了文中所介绍算法能有效提高重建图像的感知质量。 -Studied the block-based image restoration algorithm for filling, repair image quality to be susceptible to repair regional border pixels to repair the effects of the order, by analyzing the pixel region to be repaired where the module
Update : 2025-02-17 Size : 1.51mb Publisher : 陈建军
[matlab] mxTV DL : 0: 全变差图像处理Matlab程序，for the paper: "Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms"-Software for Total Variation Image Reconstruction (for Matlab Version 7.5 or later) "mxTV" is a software package for image reconstruction based on the Total Variation model, and including denoising, inpainting, and deblurring. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Informatics. The collaborators are DTU Informatics, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS. The underlying algorithms are based on recently published first-order methods developed by Nesterov, tailored specifically to the image restoration problems. These methods have O(1/ε) complexity, where ε is the accuracy of the solution. The core computational routines are written in C, with a mex interface to Matlab. The algorithms and the software are described in the paper: J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Alg
Update : 2025-02-17 Size : 382kb Publisher : l
[Special Effects] P-laplase-CDD DL : 0: 基于P-laplase 改进的各项异性CDD熟悉图像修复算法-Familiar with the image restoration algorithm based the P-laplase improved anisotropic CDD
Update : 2025-02-17 Size : 7.84mb Publisher : 吴萌
[Software Engineering] 11 DL : 0: 去雾代码,非常有效，有必要仔细读一下 17/11/2009 Author: J.-P. Tarel LCPC-INRETS copyright completed and corrected in 18/08/2010 and in 29/09/2010 This algorithm is described in details in "Fast Visibility Restoration from a Single Color or Gray Level Image", by J.-P. Tarel and N. Hautiere, in proceedings of IEEE International Conference on Computer Vision (ICCV 09), Kyoto, Japan, p. 2201-2208, September 29- October 2, 2009. http://perso.lcpc.fr/tarel.jean-philippe/publis/iccv09.html -frog remove
Update : 2025-02-17 Size : 15.78mb Publisher : zhaoxch
[Algorithm] efficient_belief_prop.tar DL : 0: a C++ implementation of the stereo and image restoration algorithms described in the paper: Efficient Belief Propagation for Early Vision Pedro F. Felzenszwalb and Daniel P. Huttenlocher International Journal of Computer Vision, Vol. 70, No. 1, October 2006
Update : 2025-02-17 Size : 272kb Publisher : mfeogrape