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tvdenoise

于 2008-01-15 发布文件大小:54KB

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下载积分: 1 下载次数: 230

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超声医学图像去噪代码，用TV法实现偏微分方程去除斑点噪声(Ultrasonic medical image denoising code, with TV method to achieve partial differential equations to remove speckle noise)

文件列表：

tvdenoise
.........\loadFile.do.htm
.........\loadFile.do_files
.........\.................\50th.png
.........\.................\90th.png
.........\.................\blue_band_536x5.gif
.........\.................\bullet.gif
.........\.................\Captcha.htm
.........\.................\cmnty1.css
.........\.................\doc.gif
.........\.................\dots_rnav.gif
.........\.................\dots_rnav_top.gif
.........\.................\exclamation.gif
.........\.................\fullstar.gif
.........\.................\ltblue_top_nav_trans.gif
.........\.................\mail_brdr.gif
.........\.................\mlc_logo.gif
.........\.................\preview.jpg
.........\.................\question.gif
.........\.................\s06759144680489.gif
.........\.................\site3.css
.........\.................\spacer.gif
.........\.................\submitfile.gif
.........\.................\s_code.txt
.........\.................\xmlicon_30x12.gif
.........\tvdenoise.m

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绘制电脑中原始人声信号的时域、频域图，并在其上加入高斯白噪声，之后设计巴特沃兹滤波器将其滤除。(The draw primitive people in the computer sound signal time domain, frequency domain, and join in on the white Gaussian noise, after design Butterworth filter to filter out.)

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由于图像在经过一次 JPEG 压缩和双重 JPEG 压缩之后其 DCT 系数具有一定的相关性，通过对这种相关性进行分析，提出了一种基于 JPEG 图像双重压缩特性的图像篡改检测算法，并用此算法检测图像是否经过篡改和定位篡改区域。 (Since the image after a first JPEG compression JPEG compression and double its DCT coefficients having some relevance, by this correlation is analyzed, and an image based on JPEG image compression characteristic double tamper detection algorithm, and the algorithm used to detect whether the image been tampered with and locate the tampered areas.)

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基于retinex理论的图象增强处理，一种新型的算法，效果挺好(Based on the Retinex theory of image enhancement processing, a new type of algorithm, the effect of good)

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