Abstract
With the increasing of computer processing ability and the increasing demand of multimedia information processing in information society, image processing has become a very active research field. The denoising and enhancement of images is to improve the quality of images, so that they are more suitable for the practical application needs, so it has a high research value. This paper mainly studies the methods of image denoising and enhancement under the framework of PDE theory, especially the difficulties encountered in the theory and practical application of the methods. This paper focuses on the image denoising and enhancement, analyzes the axiomatic partial differential equation model, partial differential equation model based on variation and geometric partial differential equation model. It discusses a series of difficult problems in image processing method based on PDE and puts forward solutions.
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This article is the research result of the online open course project of Yunnan University of Finance and Economics.
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Wang, B., Cheng, R. (2021). Image Denoising and Inpainting Strategy Based on Partial Differential Equation. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_127
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DOI: https://doi.org/10.1007/978-3-030-69999-4_127
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-69999-4
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