A New Hybrid Image Denoising Method

A new model based on the hybridization of wavelet and bilateral filters for denoising of variety of noisy images is presented in this paper. The model is experimented on standard images, like x-ray images, ultrasound and astronomical telescopic images and the performances are evaluated in terms of peak signal to noise ratio (PSNR) and image quality index (IQI). Results demonstrate that use of bilateral filters in combination with wavelet thresholding filters on subbands of a decomposed image deteriorates the performance. But the application of bilateral filter before and after decomposition enhances the performance. The filter developed with bilateral filter before and after the decomposition of an image is found to be the best performance amongst four models considered in this study in terms of PSNR and IQI. In addition, the proposed filter gives nearly uniform and consistent results on all the images.