Hybrid wavelet transform filter for image recovery

Wavelet denoising techniques are used to remove additive Gaussian noise by thresholding the wavelet coefficients. Like other transform based filters, wavelet shrinkage methods provide blur or visual artifacts that are exhibited in the neighborhood of image edges. The motive for implementing the hybrid wavelet transform filter (HWTF) is to provide a discriminate smoothing operator for noise removal. The undesirable smoothing effects can be minimized by performing two stages of wavelet de-noising and gray scale transform methods. The experimental results show that the proposed nonlinear wavelet filtering for noise reduction is an efficient technique to improve image quality.