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waveletdenoiseandip
- 讲述小波降噪算法，综述了阈值如何选取以及评定指标，并利用IP软核实现技术研究-About the wavelet denoising algorithm, the threshold review and assessment of indicators of how to select and use IP soft core Implementation Technology
curvelet--zhezhongyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法采用硬软折中阈值对图像进行去噪，里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm uses the hard and soft compromise threshold for image denoising, which contains
image-yuandaima
- 使用灰度图像对各种去噪方法进行测试，使用半软阈值方法对图像进行去噪，均值滤波方法进行去噪(对比用)，计算灰度图像的峰值信噪比。-Use grayscale images on a variety of methods of noise attenuation test, using a semi-soft threshold method for image denoising, denoising mean filtering method (Comparative), calculate t
LSST
- 使用基于软阈值分割（LLS）的目标跟踪算法，快速准确，可直接运行-A target tracking algorithm based on soft threshold segmentation (LLS)
XBYZQZ011
- 小波软阈值图像去噪，简单的小波阈值图像降噪程序-Wavelet soft threshold denoising, wavelet thresholding simple image noise reduction program
xiaoboyuzhi
- 小波变换硬软阈值，适合初学者或者深入研究小波的人群使用-Hard and soft threshold wavelet transform, for beginners or in-depth study of wavelet
wavelets-image-processing
- 包括小波变换去噪和边缘检测两个方面的代码，其中小波去噪代码中包含硬阈值，软阈值和半软阈值三种方法，而小波模极大值方法中包含含噪声和无噪声两种图像的边缘检测-Including the de-noising and edge detection wavelet transform two aspects of the code, where the wavelet de-noising code contains hard threshold, soft and semi-soft thresho
xiaoboquzao_matlab
- 基于小波变换的图像阈值去噪的matlab代码，可以实现硬阈值，软阈值以及一种自适应阈值算法并且完成他们的对比；-One kind matlab code image threshold denoising based on wavelet transform can be achieved hard threshold and soft threshold and an adaptive threshold algorithm and complete their contrast
denoisingmatlab
- 常用的图像去噪算法，基于隐马尔可夫树模型的小波去噪 基于尺度空间和context模型相结合的自适应小波去噪 基于尺度和空间混合模型的小波图像去噪 Bayes估计阈值软门限去噪 -The denoising algorithm used in image denoising, wavelet hidden Markov tree model based on adaptive wavelet denoising combining the scale space and context mode
xiaobo
- 利用小波变换，通过设置阈值对图像进行去噪。 首先对图像用小波进行2层分解，然后通过设置硬阈值和软阈值的方法，对图像高频部分去噪。(The wavelet transform is used to denoise the image by setting threshold. Firstly, the image is decomposed into 2 layers by wavelet, and then the high frequency part of the image is d