搜索资源列表
BILATERAL_FILTER
- 双边滤波器，C++编写的。可用于3D数据的去噪-Bilateral filter, C++ written. 3D data can be used for denoising
BM3D
- BM3D去噪算法的实现和相关文档，很好的去噪算法-Image and video denoising by sparse 3D transform-domain collaborative filtering Block-matching and 3D filtering (BM3D) algorithm
Stationary-wavelet-transform
- 平稳小波变换的matlab程序 还包括去噪 什么的应用-Stationary wavelet transform denoising matlab program also includes the application of what
Woiselle_poster
- This paper presents two new 3D curvelet transforms which are built as extensions of the 2D first generation curvelet transform. The first one, called the RidCurvelet, is especially well designed for representing 2D surfaces in a 3D space while th
BM3D
- The Block-Matching and 3D Filtering (BM3D) algorithm is a computationally scalable algorithm based on this novel denoising strategy. It achieves state-of-the-art denoising performance in terms of both peak signal-to-noise ratio and subjective visual
Surfacelet
- 文将3D Context模型应用于 Surfacelet变换域 ,提出一种新的视频去噪方法. Surfacelet变换(ST)是一种 新的3D变换 ,具有多方向分解、 各向异性和低冗余度等性质. 根据视频信号 ST域内系数和噪声分布的特征 ,将 2D Context 模型拓展到3D ,按照能量分布将 ST系数分成多个子块 ,每个子块有独立的能量和阈值估计.实验结果表明 ,本 文算法噪声抑制效果明显优于分层 2D去噪声方法和其它现有的 3D方法 ,去噪视频的 PSNR值提高了约 2dB
ff
- 对偶复树小波以及去噪， 包含1维二维三维的程序实现-Dual tree complex wavelet and the noise, including the one-dimensional two-dimensional three-dimensional program -The dual tree complex wavelet and denoising, including 1-dimensional 2D and 3D programs to achieve-Dual tree c
Cordic
- block-matching 3D filtering (BM3D) [2], and low-rank regularization [3], single-image based denoising performance has greatly improved, with image details well recovered when the image is slightly noisy. However, with the increase of noise le
RF3D_v1p00
- 一个共同的视频被空间相关去噪的框架随机噪声和空间相关的固定模式噪声。首先，在每一卷的空间和时间上的相关性，利用sparsify数据在三维时空的变换域，然后3D体积的频谱系数的自适应阈值萎缩三维阵列。这样的阵列取决于特定的运动轨迹的体积，单个功率谱密度的随机和固定的模式噪声，以及噪声方差，自适应地估计在变换域。-The video was a common fixed pattern noise spatial correlation denoising framework random nois
LC329WiFi-video-transmission-module
- LC329是我司为工业红外相机定制开发的一款基于WIFI的无线图像传输模块。 LC329采用美国进口工业级图像处理芯片,最大程度保证图像清晰，色彩还原度高。 LC329支持NTSC/PAL制式的视频信号，能完整流程传输720x480@30帧 /720x576@25帧图像，并且该模块采用了多种业界顶尖的视频处理算法如：3D去隔 行,3D去噪滤波，H264编码等。 LC329还预留有GPIO和工业串口等扩展端口，方便其与其他部件电路通讯。 采用为Android或者Ios等移动
Video-denoising-using-2D-and-3D-dual-tree-complex
- The denoising of video data should take into account both temporal and spatial dimensions, however, true 3D transforms are rarely used for video denoising. Separable 3-D transforms have artifacts that degrade their performance in applications. This p
siuqcvhb
- IMC-PID是利用内模控制原理来对PID参数进行计算，有CDF三角函数曲线/三维曲线图，添加噪声处理，一种流形学习算法（很好用），采用了小波去噪的思想，可以广泛的应用于数据预测及数据分析。- The IMC- PID is using the internal model control principle for PID parameters is calculated, There CDF trigonometric curve/3D graphs, Add noise processin
ethagxqi
- 通过虚拟阵元进行DOA估计，采用了小波去噪的思想，有CDF三角函数曲线/三维曲线图，通过matlab代码，旋转机械二维全息谱计算，LCMV优化设计阵列处理信号。- Conducted through virtual array DOA estimation, Using wavelet denoising thought, There CDF trigonometric curve/3D graphs, By matlab code, Rotating machinery 2-d hologra
cgcfggtd
- 合成孔径雷达（SAR)目标成像仿真，采用了小波去噪的思想，插值与拟合，解方程，数据分析，是小学期课程设计的题目，有CDF三角函数曲线/三维曲线图。- Synthetic Aperture Radar (SAR) imaging simulation target, Using wavelet denoising thought, Interpolation and fitting, solution of equations, data analysis, Is the topic of the
fietou_v23
- 有CDF三角函数曲线/三维曲线图，采用了小波去噪的思想，基于chebyshev的水声信号分析。- There CDF trigonometric curve/3D graphs, Using wavelet denoising thought, Based chebyshev underwater acoustic signal analysis.
qaolai_v78
- 多抽样率信号处理，有CDF三角函数曲线/三维曲线图，采用了小波去噪的思想。- Multirate signal processing, There CDF trigonometric curve/3D graphs, Using wavelet denoising thought.
bei_qd41
- Using wavelet denoising thought, There CDF trigonometric curve / 3D graphs, Chaos indicator for Lyapunov index calculation.
mctf_3D
- 采用3d模型，进行去噪，同时对速度进行了优化，具有工程实用性，在很多工程中已经采用(The 3D model is used to de-noising and speed optimization. It is practical in engineering and has been adopted in many projects.)
BM3D
- This is BM3D algorithm implemented according to the paper: K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Image denoising by sparse 3D transform-domain collaborative filtering,” IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, August