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Analysis_and_Detection_of_Shadows_in_Video_Streams
- Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable mea
ImageEdgeDetectingMethodBasedonFractalFeature
- 运用分形理论描述图像纹理特征，通过分析不同纹理图像及图像边缘处的分形参数，得 到一种新的边缘检测分形特征，从而提出一种基于分形特征的图像边缘检测方法。自适应阈值的 引入，能够实现不同图像的边缘检测。该算法简单迅速，并具有良好的抗噪性能。-The use of fractal theory to describe the image texture features, through the analysis of different texture image and the ima
Multi-wavelettransformtoimagenoise
- 多小波变换图像的去噪声,EI论文,很不错的.-Multi-wavelet transform to image noise, EI papers, very good.
ImageProcessing-CircleDetection-RenatoSalas_final
- The present report outlines the design, implementation and performance of the application of Hough Transform (HT) to detect circles in arbitrary pictures. Detecting circles in arbitrary pictures involves a two step process in this project. First,
TURBOCODEAPPTOIMAGETRANSMISSION
- Simulations over AWGN and Rayleigh channels, at various signal-to-noise ratios, verify the excellent performance of this novel APEL-turbo scheme. Performance comparisons were carried out between turbo coded APEL, JPEG, and BMP image files. To provi
Labview_serial_port
- The P S N R is most commonly used as a measure of quality of reconstruction of lossy compression codec (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing c
Oscilloscope
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
singnal
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
ussrcepc_proposal
- Ultrasound Speckle Reduction Using Coded Excitation and Pulse Compression Ultrasound images are riddled with system dependent imperfections called speckle (multiplicative noise). In ultrasonic imaging, detection of small lesions could be difficu
Image-Noise-Cancellation
- 消除影像雜訊，用模糊影像的方式，消除影像上面的雜訊，使使用者能較清楚辨識-Image Noise Cancellation
image-processing
- 基于matlab的数字图像处理的研究，对图像进行加噪，去噪！-Plus matlab digital image processing, image noise, denoising
digital-image-watermark
- 本文通过VC技术实现了数字图像水印LSB算法 ，嵌入与提取密钥是对称密钥算法中的序列密码算法。通过设计可以方便地在宿主图像中嵌人大量数字信息 ，在嵌入水 印容量上能实现较高容量和在最低位嵌入时有较好的不可见性。LSB算法的优点是其算法简单，计算速度比较快。但是对图像的各种操作如压缩、剪切等 ，都会使算法的可靠性受到影响，也有可能通过噪声增加或有损 压缩而消除水印，即鲁棒性较差 。 -In this paper, VC technology LSB algorithm of digital im
image-matching-
- 针对 １２８ 维 ＳＩＦＴ 特 征向量，采用距离匹配和余弦相似度匹配相结合的测度方法，利用特征点方向一致性进一步降低误匹配率 ． 实验结 果表明：改进算法对图像的缩放、旋转、光照、噪声和小尺度的视角变换均有较好的匹配效果 ． 与原算法相比，在保 证匹配点数和匹配时间的基础上，改进算法对旋转、缩放、噪声模糊和光照变换的误匹配率平均降低 １０％～２０％ ， 对于小尺度的视角变换，误匹配率平均降低 ５％． -For 128-dimensi
Digital-Image-Process
- 數位影像處理作業 noise filter -Digital Image Process Noise filter
MATLAB-eradicate-noise
- MATLAB实现图像去噪 滤波 锐化 边缘检测 源程序代码 有完美的代码和运行结果图-MATLAB for Image Restoration filter sharpening edge detection source code is a perfect code and run the results in Fig.
A-NOVEL-APPROACH-BASED-ON-NOISE-AND-PARAMETER-EST
- A NOVEL APPROACH BASED ON NOISE AND PARAMETER ESTIMATION FOR IMAGE ENHANCEMENT
Image-segmentation
- 能够自行评价各主要算子在无噪声条件下和噪声条件下的分割性能-To uate the main operator under the condition of no noise and noise under the condition of segmentation performance
Image-denoising
- Noise Removal Techniques
uniform-and-gausian-noise
- adding uniform and guassian noise to an image and restore it with adaptive local filter
sin-noise
- adding sinus noise with different frequencies to an image and restore it.