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Description: 支持向yuv视频图像添加噪声，主要是高斯噪声-yuv support to add video noise, mainly Gaussian noise
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Size: 11417 |
Author: 朱磊 |
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Description: 重庆邮电学院 TD-SCDMA移动终端所有算法 3 东南大学 G.711丟帧补偿定点算法 4 南京航空航天大学 数字视频/字符增强算法 5 南京航空航天大学 视频微光降噪音,测向算法 6 合肥工业大学 JPEG 7 西安交通大学 AAC编,解码 8 西安电子科技大学 自动视频跟踪 9 华北工学院 工业CT快速重构算法 10 山东大学 双线极大值匹配法改进算法 11 清华大学(LAB)-Chongqing Institute of Posts and Telecommunications of TD-SCDMA mobile terminals all three algorithms Southeast University G.711 FER compensation fixed-point algorithms four Nanjing University of Aeronautics and Astronautics digital video / character enhancement algorithms 5 Nanjing University of Aeronautics and Astronautics glimmer drop video noise measurement algorithm six Hefei Industrial University JPEG seven West On Jiaotong University AAC encoder and decoder 8 Xi'an University of Electronic Science and automatic video tracking 9 NCUST rapid industrial CT reconstruction algorithm Shandong University lane 10 Maximum Matching Algorithm 11 Tsinghua University (LAB)
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Size: 37059 |
Author: 赵丽辉 |
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Description: 重庆邮电学院 TD-SCDMA移动终端所有算法 3 东南大学 G.711丟帧补偿定点算法 4 南京航空航天大学 数字视频/字符增强算法 5 南京航空航天大学 视频微光降噪音,测向算法 6 合肥工业大学 JPEG 7 西安交通大学 AAC编,解码 8 西安电子科技大学 自动视频跟踪 9 华北工学院 工业CT快速重构算法 10 山东大学 双线极大值匹配法改进算法 11 清华大学(LAB)-Chongqing Institute of Posts and Telecommunications of TD-SCDMA mobile terminals all three algorithms Southeast University G.711 FER compensation fixed-point algorithms four Nanjing University of Aeronautics and Astronautics digital video/character enhancement algorithms 5 Nanjing University of Aeronautics and Astronautics glimmer drop video noise measurement algorithm six Hefei Industrial University JPEG seven West On Jiaotong University AAC encoder and decoder 8 Xi'an University of Electronic Science and automatic video tracking 9 NCUST rapid industrial CT reconstruction algorithm Shandong University lane 10 Maximum Matching Algorithm 11 Tsinghua University (LAB)
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Description: 对图像序列进行高斯背景分析，去除背景和噪声，参见文章“Automatic Temporal Segmentation for Content-Based Video Coding”。-right image sequences Gaussian background analysis, and remove background noise, see the article "Automatic Segmentation for Temporal Con tent-Based Video Coding. "
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Size: 1024 |
Author: 张志勇 |
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Description: 支持向yuv视频图像添加噪声，主要是高斯噪声-yuv support to add video noise, mainly Gaussian noise
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Size: 11264 |
Author: 朱磊 |
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Description: 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 means for shadow de-ection. Shadowdetectioniscriticalforcorrectobjectde-ection in image sequences. Many algorithms have beenproposed in the literature that deal with shadows. How-ever,acomparativeevaluationoftheexistingapproachesisstill lacking. In this paper, the full range of problems un-derlyingtheshadowdetectionareidenti?edanddiscussed.Weclassifytheproposedsolutionstothisproblemusingaaxonomyoffourmainclasses, calleddeterministicmodeland non-model based and statistical parametric and non-parametric. Novelquantitative(detectionanddiscrimina-ionaccuracy)andqualitativemetrics(sceneandobjectin-dependence,?exibilitytoshadowsituationsandrobustnesso noise) are proposed to evaluate these classes of algo-rithms on a benchmark suite of indoor and outdoor videosequences.-Robustnesstochangesinilluminationcon ditionsaswellas viewing perspectives is an im portant requirement formany a computer vision pplications. One of the key fac-ors in enhancin g the robustness of dynamic scene analy-sis is not hat of accurate and reliable means for de shadow- ection. Shadowdetectioniscriticalforcorr ectobjectde- ection in image sequences. Many a lgorithms have beenproposed in the literature that deal with shadows. How-ever, acomparativeevaluationoftheexistingappro achesisstill lacking. In this paper, the full range of problems un-derlyingtheshad owdetectionareidenti edanddiscussed.Wecla ssifytheproposedsolutionstothisproblemus ingaaxonomyoffourmainclasses. calleddeterministicmodeland non-model base d and statistical parametric and non-parametr id. Novelquantitative (det
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Size: 91136 |
Author: liangqin |
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Description: 该程序采用总变差方法去除图像噪声，希望大家喜欢-the procedure used to remove the deteriorating image noise, hope you like
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Size: 95232 |
Author: yy |
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Description: The TW2835 has four high quality NTSC/PAL video decoders, dual color
display controllers and dual video encoders. The TW2835 contains four
built-in analog anti-aliasing filters, four 10bit Analog-to-Digital converters,
and proprietary digital gain/clamp controller, high quality Y/C separator to
reduce cross-noise and high performance free scaler. Four built-in motion,-The TW2835 has four high quality NTSC/PAL video decoders, dual color display controllers and dual video encoders. The TW2835 contains four built-in analog anti-aliasing filters, four 10bit Analog-to-Digital converters, and proprietary digital gain/clamp controller , high quality Y/C separator to reduce cross-noise and high performance free scaler. Four built-in motion,
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Size: 217088 |
Author: 鬼子皮 |
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Description: 基于视频图像的运动车辆识别系统主要是由汽车牌照识别和汽车类型识
别两大核心技术构成，它在智能交通领域中有着广泛的应用，同时也是计算机
视觉、图像处理和模式识别等交叉学科研究的热门课题，因此对相关技术的研
究正受到普遍关注。本文正是在这一背景下，对运动车辆识别技术进行了系统
的研究。在车牌识别技术中，本文着重对车牌定位和车牌字符识别等关键技术
所涉及的难点进行了深入的研究。在车型识别技术中，与当前国内外学者侧重
于研究车辆外形、大小的识别不同，本文主要侧重对汽车标志的定位和识别进
行研究。本文提出了解决以上技术中相应问题的理论方法，并在实验中验证了
其有效性，同时这些研究内容对于解决一般的目标识别系统中普遍存在的光
照、噪声、尺度、形状相似、部分遮挡等情况的识别问题有着更为深远的理论
意义。-Recognition system of moving vehicle based on video images mainly consists
of two key technologies:recognition of vehicle_license_plate(VLP)and
recognition of vehicle type.It not only finds wide application in ITS,but also is a
hot point of research in computer vision,image processing and pattern recognition.
So its related technology is attended prevalently.On the above background,we
made a deep and systematic research for recognition of moving vehicle.In
recognition of VLP,the problems of VLP location and VLP character recognition
are studied in this dissertation.In recognition of vehicle type,differing with other
researchers who attend to the recognition of shape,size of vehicle,we pay attention
to the location and recognition of vehiclelogo.The methods to deal with above
problems are proposed in the dissertation and testified in the experiment.At the
same time,our researches have academic significance in object recognition which is
subject to illumination,noise,size,sla
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Size: 2338816 |
Author: 陈忠厚 |
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Description: This code is to reduce noise from video
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Size: 246784 |
Author: kanchana |
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Description: 本程序利用matlab软件工具进行编程，实现了小波变换及噪声消除等。-This procedure using matlab software tools for programming, the wavelet transform and noise elimination and so on.
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Size: 197632 |
Author: Tom |
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Description: This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring the velocity. The
developed algorithms are implemented and evaluated on TMS320C6416T DSP Starter
Kit (DSK). Segmentation is performed to detect the object after reducing the noise from
that scene. The object is tracked by plotting a rectangular bounding box around it in
each frame. The velocity of the object is determined by calculating the distance that the
object moved in a sequence of frames with respect to the frame rate that the video is
recorded. The algorithms developed can also be used for other applications (real time,
object classi cation, etc.).
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Size: 1197056 |
Author: vikas |
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Description: 都是用matlab写的，复制到txt上了
（1）基于简单背景的人脸监测，针对视频，效果还不错，传的是txt，大家新建一个M文件，复制，然后把视频名与程序中的改成一致就可以了。
（2）对多椭圆的检测，非实际图像，无噪声，就是简单的椭圆，使用同上。-Are written with matlab, copy to the txt on the (1) human face based on a simple background monitoring, for video, the results were good, communication is the txt, you create a new M file, copy, and then the video name and program The change in line on it. (2) the detection of multi-elliptical, non-real image, no noise, that is a simple oval, use ibid.
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Size: 2048 |
Author: sss |
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Description: 数字视频及HDTV算法，介绍现有的视频处理成熟算法，是不可多得的多媒体开发工具书-Communication PSK modulation and demodulation, Rayleigh and additive white Gaussian noise channel under the matlab simulation codes
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Size: 3288064 |
Author: |
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Description: 一种数字视频自适应降噪算法的研究与实现.rar 一种数字视频自适应降噪算法的研究与实现.rar 一种数字视频自适应降噪算法的研究与实现.rar 一种数字视频自适应降噪算法的研究与实现.rar -A digital video noise reduction algorithm for adaptive research and implementation. Rar A digital video noise reduction algorithm for adaptive research and implementation. Rar A digital video noise reduction algorithm for adaptive research and implementation. Rar A digital video from noise reduction algorithm to adapt to the research and implementation. rar a self-adaptive noise reduction algorithm for digital video research and implementation. rar a self-adaptive noise reduction algorithm for digital video research and implementation. rar a self-adaptive noise reduction algorithm for digital video Research and implementation. rar a digital video noise reduction algorithm for adaptive research and implementation. rar
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Size: 138240 |
Author: fredd |
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Description: 本文提出一种在原始视频DCT(离散余弦变换)与SVD(奇异值分解)域自适应嵌入水印的算法。算法首先将视频流分割成一个个场景,场景中的视频图像被变换到DCT-SVD域中,水印量化嵌入在最大奇异上,实现了水印盲检测。同时实验证明该算法在满足透明性要求下也满足一定的鲁棒性要求,能够抵抗低通滤波、中值滤波、椒盐噪声、高斯噪声、H.264压缩攻击以及统计攻击和帧剪切等攻击。-This paper presents an original video in the DCT (Discrete Cosine Transform) and SVD (singular value decomposition) algorithm for adaptive watermark embedding. Firstly, a video stream is divided into scenes, scenes of the video image is converted to the DCT-SVD domain, the watermark embedded in the largest singular quantification, the realization of the watermark signal. Furthermore, the experiments show that the algorithm meet the transparency requirements are met under certain robustness requirements, can resist the low-pass filtering, median filtering, salt and pepper noise, Gaussian noise, H.264 compression attacks and attacks and frame shear statistics attack.
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Author: 久久 |
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Description: An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles.-An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles.
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Size: 324608 |
Author: fais |
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Description:
包含M文件，培训和跟踪落实的噪音中描述的算法：
[1] J.S.厄克伦斯和R. Heusdens，“非平稳噪声跟踪基于数据驱动的递归噪声功率的估计”，IEEE期刊。音频，语音卷。 16，第6页。1112年至1123年，2008年8月。
见Description.doc在zip文件。-Contains m-files to train and implement the noise tracking algorithm described in:
[1] J.S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation", IEEE Trans. Audio, Speech & Lang. Proc., Vol. 16, No. 6, pp. 1112-1123, August 2008.
See Description.doc in the zip-file.
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Size: 128000 |
Author: zaaa |
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Description: 实现对视频图像的游程编码和解码。过程包括：二维DCT变换、量化及游程编码。
一般来讲对于视频的I帧进行恢复，其信噪比可达到38DB以上。-Implementation of the video image encoding and decoding run-length. Process includes: two-dimensional DCT transform, quantization and run-length encoding. In general, I frame for the video resume, the signal to noise ratio can reach more than 38DB.
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Size: 7168 |
Author: zrs |
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Description: 产生一个高斯白噪声
利用MATLAB自带的fir1函数产生一个低通滤波器，限制高斯白噪声的带宽，由此产生了视频噪声。
利用产生的视频噪声，分别代入噪声调幅干扰的时域表达式，并且进行100次的积累后求平均值，对其进行快速傅里叶变换后，由此画出噪声调幅干扰的频域波形。
重复上述步骤，分别代入噪声调频干扰与噪声调相干扰的时域表达式，分别画出其频域波形与时域波形。(Generate a Gauss white noise
The fir1 function of MATLAB is used to generate a low-pass filter, which limits the bandwidth of Gauss white noise, and thus produces video noise.
Using the generated video noise, the time domain expressions of noise amplitude modulation interference are substituted, and the average value is calculated after 100 times accumulation. After fast Fourier transform, the frequency domain waveform of noise amplitude modulation interference is drawn.
Repeat the steps mentioned above, and substitute the time-domain expressions of noise FM interference and noise coherent interference, and draw the frequency-domain waveform and time-domain waveform respectively.)
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Size: 3072 |
Author: 大丶哥 |
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