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Description: 数字水印的matlab程序 嵌入 提取的全过程,小波域 ,空间域-digital watermark embedded in the extraction process Matlab the entire process, wavelet domain, the spatial domain
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Size: 1228 |
Author: xianzhao |
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Description: 本程序包含了一些增强算法,空间域和频率域增强,以及生成噪声的一些程序-This procedure contains a number of enhancement algorithm, spatial domain and frequency domain to enhance, as well as some of the procedures to generate noise
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Size: 1024 |
Author: zhangzhehui |
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Description: 本实验要求使用强度变化方法对图像进行增强。图像增强的是要目标是处理图像,使其比原始图像更适用于特定应用,图像增强的方法分为两大类,空间域方法和频域方法,“空间域”一词是指图像平面本身,这类方法是以图像像素的直接处理。“频域”处理技术是以修改图像的傅里叶变换为基础的。本实验采用的对数变换和指数变换是对前一种方法的应用。-This experiment requires the use of intensity changes in methods of image enhancement. Image enhancement is to target is to deal with images, so that it more than the original image is more applicable to specific applications, image enhancement method is divided into two categories, spatial domain methods and frequency domain methods,
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Size: 808960 |
Author: jhm |
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Description: 数字水印算法中常用的 MATLAB 函数,应用MATLAB语言实现了一个空间域数字水印算法的嵌入、提取和攻击过程,并给出了程序运行的结果。-Digital watermarking algorithm used in the MATLAB function, the application of MATLAB language implementation of a spatial domain digital watermarking algorithm for embedding, extraction and attack the process and give the results of the program is running.
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Size: 63488 |
Author: 何磊 |
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Description: 在本文中,我們首先實作了 一個針對壓縮視訊(像是 H.264/AVC)之畫面解析度 改善
的方法。接著,我們分析這個方法的模擬結果。-In this thesis, we first implement a spatial resolution enhancement algorithm for H.264/AVC
compressed videos. Based on the analysis of the simulation results, we identify a few
shortcomings of this algorithm, like some visual artifacts in the enhanced videos and some
problems caused by scene change and fast motion. Then, we propose two methods to suppress
these artifacts, including adding a median regularization term in the spatial-domain and using a
median filter in the temporal domain. We also propose two methods, a global method and a
local method, to overcome the scene change and fast motion problems. With these
modifications, the artifacts and problems are suppressed significantly.
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Size: 1556480 |
Author: hekai |
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Description: Image enhancement in spatial domain, the sources include histogram, laplacian, unsharp mask, and spatial filter
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Size: 925696 |
Author: dieu |
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Description: 首先介绍了图像中噪声的产生及与图像信号相关的噪声的分类,然后分别讨论了用于图象平滑去噪的空间域平滑处理:高斯滤波,超值像素滤波、中值滤波,和频率域平滑处理:理想低通滤波和Butterworth低通滤波处理。继而介绍了各种处理方法的程序实现,并对各种方法的去噪性能进行了比较。-this program introduce the generation ofimage noise and associated noise classification with the image signal , and then discussed separately for the spatial domain image denoising smoothing: Gaussian filtering, pixel value filtering, median filtering, and frequency of domain smoothing: an ideal low-pass filter and Butterworth low-pass filtering. Then describes the procedures for implementation of various treatment methods, and de-noising performance of various methods were compared.
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Size: 4809728 |
Author: YEBIQING |
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Description: Spatial Domain Watermark algoritm of Langelaar for semitone digital images
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Size: 1024 |
Author: Niko |
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Description: spatial filter for spatial domain filtering
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Size: 1024 |
Author: rudra |
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Description: Please run Demo_evaluation.m
This toolbox contains Matlab files that implement the image fusion criteria used in my paper
Qu Xiao-Bo, YAN Jing-Wen, XIAO Hong-Zhi, ZHU Zi-Qian. Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain. Acta Automatica Sinica, Vol.34, No.12, pp: 1508-1514.Dec.2008.
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Size: 485376 |
Author: 周忠心 |
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Description: matlab6.5 图形图像处理的源程序 包括空域频域滤波等图像增强和很多图像变换的程序-matlab6.5 source graphic image processing, including spatial filtering, frequency domain image enhancement and a lot of image transform process
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Size: 98304 |
Author: chenhehui |
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Description: steganography based on lsb substitution in spacial domain
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Size: 1446912 |
Author: Nidhin |
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Description: Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system, and it has been found to be particularly appropriate for texture representation and discrimination. In the spatial domain, a 2D Gabor filter is a Gaussian kernel function modulated by a sinusoidal plane wave. The Gabor filters are self-similar – all filters can be generated from one mother wavelet by dilation and rotation
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Size: 7168 |
Author: Real1 |
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Description: 图像融合的目的把来自多传感器的数据互补信息合并成一幅新的图像,以改善图像的质量。图像融合最简单的理解就是两个(或多个)图像间的相加运算。这一技术广泛应用于多频谱图像理解和医学图像处理等领域。主要分为空域和频域相加。-The purpose of image fusion from multiple sensor data to complement the information merged into a new image to improve image quality. The simplest understanding of image fusion are two (or more) add operations between images. This technology is widely used in multi-spectral image interpretation and medical image processing and other fields. Spatial and frequency domain is divided into the sum.
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Size: 4096 |
Author: wanghui |
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Description: 用MATLAB在空间域实现图像增强,是入门的程序,希望对新手有帮助-Using MATLAB in the spatial domain image enhancement, is the entry process, hope to help novice
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Size: 1024 |
Author: wuhao |
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Description: 空间域内的图像增强,包括均值滤波,线性滤波,倒数加权滤波,digital TV_new 模型去噪的主函数等-Matlab code for image enhancement in spatial domain,Including the mean filtering, linear filtering, the reciprocal of the weighted filter, the digital TV_new model denoising main function
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Size: 3072 |
Author: 吴聪 |
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Description: 运用多种手段进行空间域图像处理,有图片以及相关文档-The use of various means of spatial domain image processing, there are pictures and related documents
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Size: 99328 |
Author: 潘磊 |
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Description: I have provided the code for watermarking code in spatial domain and check difference between original and corrupted image.
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Size: 2267136 |
Author: ur |
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Description: 数字图像处理,空间域滤波实验,有gui程序-Digital image processing, spatial domain filtering experiment with gui program
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Size: 10240 |
Author: chenjie |
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Description: Watermarking is an operation of embedding infor-
mation into an image in a way that allows to identify ownership
of the image despite applying some distortions on it. In this
paper, we present a novel end-to-end solution for embedding and
recovering the watermark in the digital image using convolutional
neural networks. We propose a spreading method of the message
over the spatial domain of the image, hence reducing the local
bits per pixel capacity and significantly increasing robustness. To
obtain the model we use adversarial training, apply noiser layers
between the encoder and the decoder, and implement a precise
JPEG approximation. Moreover, we broaden the spectrum of
typically considered attacks on the watermark and we achieve
high overall robustness, most notably against JPEG compression,
Gaussian blur, subsampling or resizing. We show that an appli-
cation of some attacks could increase robustness against other
non-seen during training distortions across one group of attacks
— a proper grouping of the attacks according to their scope
allows to achieve high general robustness
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Size: 774757 |
Author: bamzi334 |
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