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Decimated and Undecimated Wavelet Transforms Based Estimation of Images

机译:基于抽取和未抽取小波变换的图像估计

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Estimating the images using wavelet transform is very popular method in different applications. In this paper a new thresholding function is developed with the combination of SCAD function and Soft function, it is introduced for wavelet based estimation of images. The performance of this function is tested by decimated and undecimated wavelet transforms. The qualities of image denoising are tested by the root mean square error (RMSE) and peak signal to noise ratio (PSNR). The performance of the new thresholding function gives better results than compared to decimated and undecimated wavelet transforms.
机译:在不同应用中,使用小波变换估计图像是非常流行的方法。本文结合SCAD函数和Soft函数开发了一种新的阈值函数,用于基于小波的图像估计。此功能的性能通过抽取和未抽取的小波变换进行测试。通过均方根误差(RMSE)和峰值信噪比(PSNR)测试图像去噪的质量。与抽取和未抽取小波变换相比,新阈值函数的性能可提供更好的结果。

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