Image Enhancement Technique Using Symlet and Daubechies Wavelets

Images are used in a variety of fields for image analysis and image understanding. Digital images are usually degraded by various types of noise due to sensor problems, weather problems and so on. In this paper, we represent a new technique for removing noise from images. This technique integrates Symlet and Daubechies discrete wavelet family members, thresholding and fast fourier thresholding and neural network. This proposed method is tested on a set of images. The proposed method gives good results in terms of PSNR and MSE values