Noises removal for images in Nakagami fading channels by wavelet-based Bayesian estimator

With the projected significant growth in mobile internet and multimedia services, there is strong demand for wireless image communication. However, a lot of questions related to the multimedia wireless communications raised, such as “how to obtain a good quality images in wireless communication fading channels?” In this paper, we first established Bayesian estimator based on wireless communication modelled by Nakagami fading channel. Our previous research results [4–6] have been extended to this modelling, in particular for multi-noises, such as Gaussian and Poisson noises in Nakagami fading channels. As an example, an improved Bayesian estimator (soft and hard threshold methods), is also illustrated in this paper, not only by traditional assessments but also by “structural similarity” [10].