AN EFFECTIVE WAVELET THRESHOLDING FILTER FOR IMAGE DENOISING
Keywords:
Salt and pepper noise, medical image, Bayes threshold, Stationary wavelet transform, PSNR, MSEAbstract
Image denoising is the basic problem of signal recovery in Image process and is
required to reduce or eliminate the noise of the observed images. The image will be
contaminated by random noise in the process of collection and transmission, which would
inevitably lead to the degradation of the image quality in the subsequent process such as
image compression and feature extraction. Hence, it is important to estimate the original
image from the noisy image. Most of the existing techniques use hard and soft thresholding
functions for denoising the image in which the large value of threshold results in too many
zero coefficients. So the useful information is removed along with the noisy data. In proposed
method using below threshold value will be processed, So the useful information of the image
is does not affected. The performance is evaluated and the results are compared. The results in
the proposed method enhance the peak signal to noise ratio and preserves the details of an
image.
