Poisson Noise Removal From Images Using the Fast Discrete Curvelet Transform
The authors propose a strategy to combine the Variance Stabilizing Transform (VST), used for Poisson image denoising, with the Fast Discrete Curvelet Transform (FDCT). The VST transforms the Poisson image to approximately Gaussian distributed, and the subsequent denoising can be performed in the Gaussian domain. However, the performance of the VST degrades when the original image intensity is very low. On the other hand, the FDCT can sparsely represent the intrinsic features of images having discontinuities along smooth curves. Therefore, it is suitable for denoising applications.