Blind Image Denoising via Dependent Dirichlet Process Tree
Blind Image Denoising via Dependent Dirichlet Process Tree
Most existing image denoising approaches assumed the noise to be homogeneous white Gaussian distributed with known intensity. However, in real noisy images, the noise models are usually unknown beforehand and can be much more complex. This paper addresses this problem and proposes a novel blind image denoising algorithm to recover …