TITLE:
Numerical Comparisons of Different Imaging Algorithms
AUTHORS:
Soulef Bougueroua, Nourreddine Daili
KEYWORDS:
Comparative, Denoising Algorithms, Image Restoration
JOURNAL NAME:
Journal of Applied Mathematics and Physics,
Vol.11 No.9,
September
26,
2023
ABSTRACT: Image processing is the set of operations performed to extract “information” from the image. An interesting problem in digital image processing is the restoration of degraded images. It often happens that the resulting image is different from the expected image. Our problem will therefore be to recover an image close to the original image from a poor quality image (that has been skewed by Gaussian and additive noise). There are several algorithms on how we can improve the broken image in better quality. We present in this paper our numerical results obtained with the models of Tikhonov regularization, ROF, Vese Osher, anisotropic and isotropic TV denoising algorithms.