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matlab-image-processing
- 《MATLAB 6.5辅助图像处理》 本书是基于MATLAB 6.5的图像处理工具箱v3.2 （Image Processing Toolbox）编写的，较全面系统地介绍了图像处理工具箱v3.2函数在有噪和退化图像的恢复、图形绘制、图像几何变换、图像增强、二值分析、小波分析和分形几何用于图像处理，以及图形用户界面设计等方面的工程实际应用。全书侧重于图像处理工具箱在工程中的具体应用，通过具体的分析和详细的实例，读者不仅可以对MATLAB图像处理工具箱函数的强大功能有一个深刻了解，更能学会正确
inpaiting_code_i_c
- 采取逆滤波和维纳滤波两种图像恢复算法对退化图像的恢复实现过程。 -taken inverse filter and two Wiener filtering algorithm to image restoration of degraded images to achieve the restoration process.
DegradedImageAnalysis
- Degraded Image Analysis:An Invariant Approach一篇经典的关于不变矩的文章。
Image_Restoration
- 简要说明：此程序代码实现超分辨率图像的重建、复原-To restore extremely blurred or degraded image. Images blurred due to many factors like relative motion between camera and a moving car (eg. Image of a speeding car).
radon
- radon transform used to restore the degraded image by motion blur
Queens_ImageControl_VS2005
- 大图像的缩放和平移，支持大小50MB的图片缩放，效果非常平滑-I recently wrote an article showing a simple method for panning an image. The code worked very well for small to moderate sized images. However, when using very large images, the performance degraded significantly.
IMGRestore
- 图像复原的相关程序，内含运动模糊和运动模糊复原、逆滤波退化和逆滤波复原、加噪退化和维纳滤波复原。-Image restoration procedures, including motion blur and motion blur restoration, inverse filtering and inverse filtering to recover degraded, noise degradation and restoration Wiener filter.
IMGRestore
- 图像复原 图像退化 运动模糊复原 非约束复原 约束复原-Image Restoration of degraded motion-blurred image to recover non-binding constraint recovery recovery
TV_resto
- 偏微分方程应用与图像去噪，迎风方案，采用TV方法- Restore an degraded Image (noising and blurring) by TV method. The numerical implementation is based on Roe upwind schema
IMGresto
- 数字图像处理典型算法，包括图像复原，逆退化变换及复原，运动模糊变换及复原-A typical digital image processing algorithms, including image restoration, inverse transformation and restoration of degraded, motion blur transformation and recovery
Switching_median
- With the development in the image processing field a wide variety of filters have been developed. The quality of filters mainly depends on to which extent it is able to recover the degraded image so that it is as close as to the original image that i
matlab-code
- 此压缩文件中包含了对退化图像进行复原的Matlab源代码和处理后的图像-This compressed file contains the restoration of degraded images Matlab source code and the processed image. . .
nilvbo
- 通过逆滤波的方式对已经退化图像进行一定程度的恢复-Way through the inverse filter has degraded the image a certain degree of recovery
tuxiangpinghuguolvsuanfa
- 详细介绍了多种图像处理的案例，包括原代码！用于进行图像处理、分析、可视化和算法开发。可用其对有噪图像或退化图像进行去噪或还原、增强图像以获得更高清晰度、提取特征、分析形状和纹理以及对两个图像进行匹配。-Introduced a variety of image processing of cases, including the original code! Used for image processing, analysis, visualization, and algorithm dev
adaptive-
- adaptive degraded document image binarization
image-restoration
- 图像复原，对遥感图像资料进行大气影响的校正、几何校正以及对由于设备原因造成的扫描线漏失、错位等的改正，将降质图像重建成接近于或完全无退化的原始理想图像的过程。-Image restoration, image data for remote sensing of atmospheric effects correction, geometric correction as well as the device causes the scan line leakage, dislocation c
Image-Restoration-by-total-variation
- 基于全变分（TV）的多光谱遥感图像恢复。当多光谱图像中一个通道模糊时，利用其它通道的图像特征辅助进行去模糊或反卷积，效果不错-This is a new image restoration or deconvolution method, which uses one of clear band image to constraint Total Variation de-blurring of degraded band image in multispectral image. It tes
An-Image-Defogging-Algorithm
- 提出了一种基于雾气遮罩减除的图像去雾算 法。首先对降质图像平滑滤波以估计其亮度分量，对亮度分量求均值得到均匀分布的雾气遮罩，并结合退 化图像获取与场景深度信息相关的雾气遮罩。在对数域中从降质图像中减除获得的雾气遮罩，即可得到 场景的反射图像。对反射图像进行自适应的对比度拉伸，可以得到最终的去雾结果。-Proposed algorithm based on the image to fog mist mask subtraction. First, the degraded im
Image-defogging
- 由于大气的散射作用，雾天的大气退化图像具有对比度低、景物不清晰的特点，给交通系统及户外视觉系统的应用带来严重的影响。但由于成像系统聚焦模糊、拍摄场景存在相对运动以及雾天等不利环境，使得最终获取的图像往往无法使用。为了解决这一问题，设计图像复原处理软件。 要求完成功能： 1、 采用直方图均衡化方法增强雾天模糊图像，并比较增强前后的图像和直方图； 2、 查阅文献，分析雾天图像退化因素，设计一种图像复原方法，对比该复原图像与原始图像以及直方图均衡化后的图像； 3、 设计软件界面 -
Assuerwat
- Assume that we look through the moving water surface and observe an underwater object (for example, a coral reef(we would notice that the object is distorted due to the effect of light refraction and motion blur. Such phenomena can be recorded by a