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Image_denoising_with_wavelet.zip
Image denoising with wavelet
We first load an image, and add some noise to it
The orthogonal wavelet transform is not very efficient for image denoising because it lacks translation invariance. This is why there is so many reconstruction artifact in the ...
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Multiscale_texture_synthesis.zip
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The Heeger and Bergen SIGGRAPH 95 synthesis algorihtm computes a new texture by matching the histogram of a steerable transform (starting from an initial random noise). It works well for cloud-like texture, and fail to synthesize geometric features.
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ofdmci.rar
Simulation program to realize OFDM transmission system Simulate effect of interfarence noise
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DSSS_enhanced_with_a_coarse_time_synchronization_
... filtered signal of the set of all hypothesied despreaded ones using different hypothesized phases for the PN-sequence.The simulation can be growed in several ways including considering various types of noise and jammings or also designing better filters.
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water.zip
water simulation and texture, perlin noise
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DeblurringImagesUsingtheBlindDeconvolutionAlgorit
The Blind Deconvolution Algorithm can be used effectively when no information about the distortion (blurring and noise) is known. The algorithm restores the image and the point-spread function (PSF) simultaneously. The accelerated, damped Richardson-Lucy ...
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DeblurringImagesUsingaRegularizedFilter.rar
... when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square restoration algorithm that uses a regularized filter.
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LucyRichardsonAlgorithm.rar
... when the point-spread function PSF (blurring operator) is known, but little or no information is available for the noise. The blurred and noisy image is restored by the iterative, accelerated, damped Lucy-Richardson algorithm. The additional optical ...
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