X-Ray Image Denoising using Multivariate Shrinkage Function in Wavelet Domain
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The distortion of medical images by noise is common during its processing and transmission. So, this research is concerned with wavelet-based X-ray image denoising using Bayesian techniques. Indeed, one of the cruxes of the Bayesian image denoising algorithms is to estimate the local variance of the image. Here, we employ maximum a posterior (MAP) estimation to calculate local observed variance with Pareto distribution prior for local observed variance and Laplacian or Gaussian distribution for noisy wavelet coefficients.
- งานวิจัย (Research)