Performance Evaluation of Iterative Denoising Algorithm Based on Variance Stabilizing Transform and Wavelet Thresholding
Walid Imoudene, Larbi Boubchir, Zoubeida Messali, Messaouda Larbi · 2019 International Conference on Advanced Electrical Engineering (ICAEE) · 2019
The restoration of images degraded by noise is one of the most important tasks in image processing. This paper deals with the recovery of an image from a Poisson noisy observations. More precisely, we have combined an iterative denoising algorithm based on Variance Stabilizing Transform (VST) with the conventional Wavelet Thresholding technique. At each iteration, a combination of the Poisson observations with the denoised estimate from the previous iteration is treated as scaled Poisson data and riltered through a VST scheme and wavelet thresholding. Experimental results show the effectiveness of the proposed method for denoising images corrupted by Poisson noise. Performance assessment is provided.