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11003208
- 一种新的平滑滤波器族，可以同时处理加性和乘性噪声，而且在边缘保持和非脉冲性噪声滤除之间达到了权衡。-a new nation smoothing filter can also handle additive and multiplicative noise. but on the margins to maintain and non-pulse filter between the noise reached a balance.
DeblurringImagesUsingWienerFilter
- 模拟运动模糊 恢复模糊图像 对加性噪声图像的恢复等-Fuzzy simulation of the restoration of motion-blurred images of additive noise, such as image restoration
estimate
- 对清晰图像加模糊并用时域和频域的方法分别实现对模糊参数的估计并将图像复原（其中用频域的方法实现对模糊角度的估计）-Clear picture of the additive fuzzy and time-domain and frequency domain methods, respectively, to achieve the estimated fuzzy parameters and image restoration (including the method used to ach
color_denoise
- 图像降噪 对图像中的加性噪声能够自适应滤除-Image denoising the image of the additive noise can be self-adaptive filtered。
2paper2
- 根据图像数字水印基本原理和水印信道的构造及生成方式，从信息论的角度，对基于高斯噪声信道的数字水印容量进行探索。针对高斯信源分布具有最大的不确定性、能够在所有的二阶随机分布中提供最大信息熵的特点，分析在高斯分布情况下的整个水印信道通信过程，并引入平均互信息理论，给出基于高斯的水印信道容量的最大通信速率。同时分析加性噪声信道下的容量问题，将高斯分布扩展到非高斯分布，优化容量计算表达式，利用Matlab软件工具给出非高斯信源水印容量与受限失真度的2D和3D关系仿真曲线，并结合实际给出结果分析。-】Ba
xianxing
- 根据编码算法仿真各种线性滤波器以及通过加性高斯白噪声后的滤波器波形-Coding algorithm based on simulation of linear filters, and additive white Gaussian noise through the filter after the waveform
rm
- RM的编码过加性高斯白噪声信道（AWGN）后译码的C++ 实现程序，C语言产生高斯白噪声-RM of coded additive white Gaussian noise channel (AWGN) after decoding in C++ program, C language generated Gaussian white noise
ECC-image-alignment-algorithm
- 应用增强的相关系数（ECC）进行图像配准，是发表在2008年PAMI上的文章源码。-This is a Matlab implementation for the forwards additive version of ECC image alignment algorithm based on the paper "G.D. Evangelidis, E.Z. Psarakis, Parametric Image Alignment using Enhanced Correlation Co
weilalvbo
- 对彩色辣椒图像进行模糊，增加加性噪声，然后利用维纳滤波恢复-first，we blur the Colored peppers image, increase the additive noise, and then use the Wiener filter to restore
Investigating-Methods-of-the-Noise-Reduction-in-S
- This paper analyses impact of using averaging filtering on quality of SAR images. These are commonly corrupted by multiplicative complex correlated noise (speckle) and by additive white Gaussian noise. Methods presented in this paper: multilook a
Resolution-Image-Reconstruction
- ：超分辨率(sR)重建技术是利用一幅或多幅低分辨率(LR)图像的信息重建出一幅高分辨率(HR)图像，同时能够 消除由成像器件引入的模糊、噪声。该技术应用领域广泛，已经成为国内外图像处理领域的研究热点之一。介绍了超分 辨率重建技术的基本原理，并分别以单帧和多帧、频域和空域为分类依据，分别阐述了超分辨率重建技术的经典方法，系 统地总结了各种方法的优缺点，提出了超分辨率重建技术可能的研究方向，从而为超分辨率重建相关技术的进一步研究 提供一定的理论基础-Abstract：Super—re
Image_Quality_Assessment2
- 2011年IEEE T.的Image Quality Assessment by Separately Evaluating Detail Losses and Additive Impairments，请大家分享-2011 IEEE T. Image Quality Assessment by Separately Evaluating Detail Losses and Additive Impairments, please share
adptive-filter-for-additive-noise
- 加性噪声的自适应中值滤波，窗口大小在3*3到7*7之间变化,冈萨雷斯P241-the adptive filter for additive noise
wiener2-filtering
- wiener2图像滤波小程序。维纳滤波理论在图像处理中有着广泛的应用。-wiener2 lowpass filters an intensity image that has been degraded by constant power additive noise. wiener2 uses a pixel-wise adaptive Wiener method based on statistics estimated from a local neighborhood of each p
Super-resolution
- 本文提出，为第一次，一个统一的多图像超分辨率盲法（MISR或SR），单个图像模糊反卷积（二次发射离子束淀积），和多图像模糊反褶积（国际金业）的低分辨率（LR）图像退化通过线性空间不变（LSI）模糊，锯齿，加白高斯噪声（AWGN）。该方法是基于 交替最小化（AM）的一个新的成本函数 对于未知的高分辨率（HR）图像和模糊。 -This paper presents, for the first time, a unified blind method for multi-image
fast-additive-svms.tar
- 基于HOG+LBP+HIKSVM的行人检测算法matlab代码实现，里面包含了libsvm-mat-3.0-1软件包.-the algorithm implementation of pedestrian detection based on the dates+ LBP+ HIKSVM，it contains the libsvm-mat-3.0-1 package
gaussian-white-noise
- This function generates an Additive White Gaussian Noise (AWGN) sample at every call. Its beauty lies in its simplicity! The generated sample set will have zero mean and a standard deviation of 1. Therefore, one can simply scale the output samples by
AOS-method
- 正则化P-M模型的半隐式求解格式，加性分裂算子（AOS）方法-Regularization P- semi implicit solving format of M model, additive division operator (AOS) method
MYCNN
- 基于CNN的手写文本识别，卷积神经网络模型，并受到深度学习中预训练方式的启发，提出一种类别累加的训练方式，采用这种类别累加方式进行卷积神经网络模型的训练-Handwritten text recognition based on CNN neural network model, convolution, and inspired by the pre training in depth study, put forward a kind of category cumulative train
Least-squares-
- 利用最小二乘法从加性白噪声干扰的宽带有用信号中除去窄带干扰 -Additive white noise removing narrowband interference in broadband useful signal