KEYWORDS: Image denoising, Radio over Fiber, Denoising, Signal to noise ratio, Image processing, Tunable filters, Image restoration, Image filtering, Image sharpness, Windows
Among various image denoising methods, the total variation (TV) has offered considerable performance. However, it is prone to the staircasing effect. To alleviate this problem, we propose a novel TV-based denoising method that utilizes variable exponents as the regularization constraints and L1-norm as the fidelity term. To further improve the robustness of our method, we develop it under a non-local framework to avoid overlooking the global information of the image. Extensive experiments on real-world images have validated the effectiveness of the proposed method.
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