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: Partial volume correction method using reverse diffusion interpolation
This function implements a reverse diffusion scheme to interpolate images to correct for partial volume effect. Under the assumption that the pdf is about the size of the pixel (e.g. MRI), edges between two structures can be recovered.
There is a script (go1.m) that asks to select multiple dicom files and then runs the main function. Any file formats could be read upon a small modification (imread instead of dicomread).-Partial volume correction method using're This verse diffusion interpolation function i mplements a reverse diffusion scheme to interp olate images to correct for partial volume effe ct. Under the assumption that the pdf is about th e size of the pixel (e.g. MRI), edges between two structures can be recovered. There is a script (go1.m) that asks to select intercommunication handset dicom files and then runs the main functio n. Any file formats could be read upon a small mod ification (imread instead of dicomread). Platform: |
Size: 1634304 |
Author:xj |
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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 |
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Description: 图像处理的基础上正交方向前进扩散偏微分方程图像修复和去噪模型变化问题-an orthogonal—directional forward diffusion Partial Differential Equation
(PDE)image inpainting and denoising model which processes image based on variation problem is
proposed Platform: |
Size: 428032 |
Author:小屋 |
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Description: :针对TV模型修复算法只沿梯度垂直方向扩散,容易在平滑区域引入阶梯效应,迭代效率低,易产生假边缘的缺点,分析比较了TV图像修复模型的性能,提出了一种改进的图像修复算法。-Abstract:TV image inpainting only repairs algorithm along the vertical direction,making diffusion gradi—
ent in smooth area into stair step effect,reducing iterative efficiency,producing false edge faults.We ana—
lyse and compare the TV image restoration model and repair the performance of the model is put forward
in this paper.Puts forward an improved image restoration algorithm Platform: |
Size: 1189888 |
Author:Ankiss |
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Description: propose a novel joint data-hiding
and compression scheme for digital images using side match
vector quantization (SMVQ) and image inpainting. The two
functions of data hiding and image compression can be integrated
into one single module seamlessly. On the sender side, except for
the blocks in the leftmost and topmost of the image, each of the
other residual blocks in raster-scanning order can be embedded
with secret data and compressed simultaneously by SMVQ or
image inpainting adaptively according to the current embedding
bit. Vector quantization is also utilized for some complex blocks
to control the visual distortion and error diffusion caused by the
progressive compression. After segmenting the image compressed
codes into a series of sections by the indicator bits, the receiver
can achieve the extraction of secret bits and image decompression
successfully according to the index values in the segmented
sections. Experimental results demonstrate the effectiveness of
the proposed scheme. Platform: |
Size: 965632 |
Author:bala |
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Description: 通过进行吉布斯抽样和PDE扩散来进行图像修复。原始图像具有(红色、绿色、蓝色)波段,通过在原始图像的红带上施加掩码图像来生成失真图像。(This is a task of image restoration and inpainting with two methods - **Gibbs sampler** and **PDE diffusion**. The original image has (Red, Green, Blue) bands, and the distorted image is created by imposing the mask image on the Red-band of the original image.) Platform: |
Size: 1658880 |
Author:markyT |
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