Image denoising based on hybrid L0 and L1-norm regularization
Xiaoyu Han,
Yannan Yang,
Wende Dong
Abstract:In cases of insufficient lighting conditions, the obtained images of optical systems usually suffer from heavy noise, which subsequently has a negative impact on tasks like image segmentation, target detection, and edge extraction. Image denoising requires preserving the integrity of original information while eliminating irrelevant data from the signal. Regularization is an effective way to improve the performance of denoising algorithms, it achieves this by introducing additional constraints to ensure stable… Show more
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