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Adaptive regularization parameter adjustment for total variation denoising
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DOI：10.1016/j.sigpro.2026.110494.png)
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Abstract
En 中文
Total variation denoising has been extensively used in the restoration of piecewise constant signals, which are highly valued in numerous practical applications. However, existing approaches often struggle with the choice of regularization parameter, potentially leading to suboptimal denoising performance. To address this issue, this paper presents an adaptive regularization parameter adjustment mechanism and incorporates it with total variation denoising algorithm. An optimization strategy based on the solution of differential equation is designed to determine the regularization parameter, enabling it to converge toward an optimal value automatically. This strategy is then integrated into the total variation denoising framework to dynamically adjust the regularization parameter during the denoising process. Simulations and experimental results confirm that the proposed method significantly enhances the denoising efficiency for piecewise constant signals.
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