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image denoisig adaptive wavelet packet thresholdin
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The statistical optimized adaptive wavelet packet (WP) thresholding function for image denoising is based on generalized Gaussian distribution. It is suitable for noisy images to obtain the best tree or wavelet basis, and uses information entropy to calculate efficient multilevel WP decomposition. It selects adaptive thresholds, that is, the level and subband dependence analysis are based on the statistical parameters of subband coefficients. In the used threshold function, based on the maximum a posteriori probability estimation, the optimal linear interpolation between each coefficient and the mean value of the corresponding subband estimates the modified version of the dominant coefficient. Experimental results show that several test images under different noise intensities show that the proposed algorithm, called Open Learning Institute shrinkage, produces better peak signal-to-noise ratio and superior visual image quality - a common image quality indicator used to measure - relative to standard denoising methods, especially at high noise intensities. It is also superior to some of the best state denoising techniques based on wavelet transform.
romor13
2016-08-23
1
1
Improved adaptive complex diffusion despeckling fi
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Improved adaptive complex diffusion despeckling filter (NCDF) DESCRIPTION: Filters out speckle noise from a noisy image INPUTS: imgIn - noisy image TMAX  - diffusion time OUTPUTS: imgOut - filtered image nIter  - number of iterations made by the process dTT    - vector with the step in time for each iteration DEPENDENCIES:  needs the matlab image processing toolbox
romor13
2016-08-23
1
1
Make feature vector_Liu
no vote
This FUNCTION gets the 16x16 subImage and returns the  Feature Vectore Y according to Liu Method this FUNCTION is for make feature vector with Liu
romor13
2016-08-23
1
1
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