Image De-noising using Double Density Discrete Wavelet Transform& Median Filtering

Noise affects images during transmission or processing. The quality of image is affected by noise so to retain the quality of image an operation is performed that is called de-noising. De-noising basically deals with the removal of noise from noise contaminated version of image. There are different method of image de-noising depend upon the noise that is present in the image. This paper presents image de-noising method that is based on double density discrete wavelet transform and median filtering. In this paper we presents different types of noise that can affect the image .When image is corrupted with Gaussian noise then double density discrete wavelet transform outperform the best and when image is corrupted with salt and paper noise then median filtering approach gives better result. In this proposed algorithm a new hybrid method is used to remove mixed noise and proposed method gives better result in terms of MSE, PSNR and SSIM. Keywords— Image De-noising, Image Noise, Median Filter, Wavelet Domain De-noising, Image Decomposition, Wavelet Threshold