Abstract
The conflicts between edge regions and smooth regions of total variation (TV) model used in image denoising may produce staircase effect. An improved total variation model by using local gradient threshold is proposed. Based on the analysis of the existing wavelet transform for noise prediction, a more accurate improved prediction algorithm is proposed. Furthermore, the relation equation between local gradient threshold and noise variance through experiments. The estimation method of optimal gradient threshold is proposed also. Finally, the paper gives steps and iterative methods of the improved algorithm. Experiments result show that the proposed algorithm can effectively denoising the image, obtain better edge protection effect, and can suppress the staircase effect in the restored image.
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Acknowledgements
We thank all reviews for their constructive comments. This work was supported by a grant from the Hunan Provincial Education Science Foundation. China (Project No. XJK21CZJ053). Hunan Social Science Foundation. China (Project No. XSP21YBC307).
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Zhou, G., Zhang, H. (2023). An Improved Image Denoising Method to Suppress Staircase Effect. In: Kountchev, R., Nakamatsu, K., Wang, W., Kountcheva, R. (eds) Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022). Smart Innovation, Systems and Technologies, vol 323. Springer, Singapore. https://doi.org/10.1007/978-981-19-7184-6_41
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DOI: https://doi.org/10.1007/978-981-19-7184-6_41
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