Improved Image De noising Algorithm using Dual Tree Complex Wavelet Transform

Image denoising methods are used to remove the noise components without affecting the important image features and content. Wavelet transforms represents image energy in compact way and this representation helps to find threshold between noisy feature and important image features. In this work we proposed a contextual information based thresholding method in Dual tree complex wavelet transform. We compared our method with other two denoising methods. For comparison purpose we used two standard image processing images using different Gaussian noise variance