Research Article Open Access

Decimated and Undecimated Wavelet Transforms Based Estimation of Images

Abstract

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.

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