Description: CImg库的最新版本,特别在plugin中添加了greycstoration算法(非常强悍的去噪,放大与inpainting算法),perona-Malik各向异性扩散,热扩散等算法,希望更多人研究变分与PDE的图像处理,特别是数学系的朋友-CImg for the latest version, In particular, adding the plugin greycstoration algorithm (very tough denoising Large and inpainting algorithm), perona-Malik anisotropic diffusion. Thermal dispersion algorithm hope that more people study variational PDE and the image processing, in particular the Department of Mathematics friends Platform: |
Size: 4678528 |
Author:zhuboy |
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Description: This toolbox contains functions related to image processing, including
* images loading and generation.
* filtering and blurring functions.
* anisotropic and spacially variant filters.
* non-linear filtering (median, LIC, bilateral).
* High Dynamic Range image loading and equalization.
* total variation image processing (denoising and decomposition).
* non-wavelets image transforms such as local DCT Platform: |
Size: 581122 |
Author:fangfei_666 |
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Description: CImg库的最新版本,特别在plugin中添加了greycstoration算法(非常强悍的去噪,放大与inpainting算法),perona-Malik各向异性扩散,热扩散等算法,希望更多人研究变分与PDE的图像处理,特别是数学系的朋友-CImg for the latest version, In particular, adding the plugin greycstoration algorithm (very tough denoising Large and inpainting algorithm), perona-Malik anisotropic diffusion. Thermal dispersion algorithm hope that more people study variational PDE and the image processing, in particular the Department of Mathematics friends Platform: |
Size: 13052928 |
Author:zhuboy |
Hits:
Description: This toolbox contains functions related to image processing, including
* images loading and generation.
* filtering and blurring functions.
* anisotropic and spacially variant filters.
* non-linear filtering (median, LIC, bilateral).
* High Dynamic Range image loading and equalization.
* total variation image processing (denoising and decomposition).
* non-wavelets image transforms such as local DCT Platform: |
Size: 580608 |
Author:fangfei_666 |
Hits:
Description: Gaussian filtering in one, two or three dimensions is among
the most commonly needed tasks in signal and image processing.
Finite impulse response filters in the time domain
with Gaussian masks are easy to implement in either floating
or fixed point arithmetic, because Gaussian kernels are
strictly positive and bounded. But these implementations are
slow for large images or kernels. With the recursive IIRfilters
and FFT-based methods, there are at least two alternative
methods to perform Gaussian filtering in a faster way,
but so far they are only applicable when floating-point hardware
is available. In this paper, a fixed-point implementation
of recursive Gaussian filtering is discussed and applied
to isotropic and anisotropic image filtering by making use of
a non-orthogonal separation scheme of the Gaussian filter. Platform: |
Size: 1024 |
Author:yangdi |
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Description: 运用Perona-Malik各项异性扩散模型对一维信号进行去噪处理。该方法在有效的抑制噪声的同时能够保护信号。-The use of Perona-Malik Anisotropic Diffusion Model for the one-dimensional signal denoising treatment. The method in the effective suppression of noise at the same time to protect the signal. Platform: |
Size: 2048 |
Author:wzq |
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Description: 运用Perona-Malik各项异性扩散模型对二维图像进行去噪处理。该方法在有效的抑制噪声的同时能够保护图像的边缘。-The use of Perona-Malik Anisotropic Diffusion Model for the treatment of two-dimensional image denoising. The method in the effective suppression of noise at the same time to protect the edge of the image. Platform: |
Size: 2048 |
Author:wzq |
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Description: 运用Perona-Malik各向异性扩散模型对3d图像进行平滑去噪。此方法可以有效的抑制高斯噪声,并保护图像的边缘特征。-The use of Perona-Malik anisotropic diffusion model for smooth 3d image denoising. This method can effectively suppress Gaussian noise and to protect the image of the edge feature. Platform: |
Size: 3072 |
Author:wzq |
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Description: This toolbox contains functions related to image processing, including
* images loading and generation.
* filtering and blurring functions.
* anisotropic and spacially variant filters.
* non-linear filtering (median, LIC, bilateral).
* High Dynamic Range image loading and equalization.
* total variation image processing (denoising and decomposition).
* non-wavelets image transforms such as local DCT.
* Various helpers functions Platform: |
Size: 3398656 |
Author:徐亮 |
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Description: 介绍经典Perona-Malik模型各向异性扩散滤波去噪的英文论文,对于学习图像的人很有用的。-Introduced the classic model of Perona-Malik anisotropic diffusion denoising filter papers in English, for those who study images very useful. Platform: |
Size: 1196032 |
Author:tudan |
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Description: 基于各向异性扩散方程的一款经典的SAR图像相干斑噪声抑制的算法实现,可以直接用的,效果很好!-Anisotropic diffusion equation based on a classic SAR image speckle noise reduction algorithm can be directly used, very good! Platform: |
Size: 574464 |
Author:陈少波 |
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Description: 完成基于各向异性的自适应超声图像去噪和边缘增强方法,参考Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement.pdf,加入了m参数-The completion of ultrasound-based adaptive anisotropic image denoising and edge enhancement method, reference Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement.pdf, joined the m parameters Platform: |
Size: 2048 |
Author:zhanghongwei |
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Description: the package contains some methods of diffusion filters to smooth the noisy images without losing important data such as edges in image analysis,including anisotropic diffusion(Perona-Malik), linear isotropic,median and Low Pass Gaussian filter. Platform: |
Size: 1024 |
Author:reza |
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Description: 改进后的非线性各向异性扩散用于图像中的保边去噪,增加了二阶导数,是滤波效果更好-Improved nonlinear anisotropic diffusion for edge preserving image denoising, an increase of second derivative, is a better filtering effect Platform: |
Size: 114688 |
Author:quyong |
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Description: unctions related to image processing, including
* images loading and generation.
* filtering and blurring functions.
* anisotropic and spacially variant filters.
* non-linear filtering (median, LIC, bilateral).
* High Dynamic Range image loading and equalization.
* total variation image processing (denoising and decomposition).
* non-wavelets image transforms such as local DCT. Platform: |
Size: 2636800 |
Author:Ahmed |
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Description: 各向异性去噪,考虑到空间域的临近关系,同时考虑灰度的相似性,是相对比较经典的去噪模型-Anisotropic denoising, taking into account the close relationship between the spatial domain, taking into account the similarity of gray, is a relatively classical denoising model Platform: |
Size: 2048 |
Author:光美 |
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