Abstract
Abstract In the application of digital model of animation scene, image restoration technology and image denoising technology are the basic tasks of practical operation, which are closely related, but there exist also essential differences. The reason is that both of them want to obtain the original image from the degraded noise image or damaged image, but generally speaking, as there is no sufficient constraint information to accurately recover the original image, both of them are unwell-posed inverse problems. Therefore, on the basis of understanding the basic content and application research status of variational partial differential equations (PDEs), this paper discusses the application value of variational PDEs in image denoising and restoration according to the image processing requirements in the digital model of animation scenes.
Highlights
In the development of digital model construction of animation scene, the related digital image processing has a long history of development
The relation between partial differential equations (PDEs) dedrying and classical filter dedrying is constructed, and the result of the fusion with the concept of scale space proposed by Witkin is the basic content of PDE image processing
On the basis of understanding the variational PDE, this paper makes a comparative analysis of the creation of the digital model of the animation scene and the image denoising and restoration technology, and makes clear the application advantages of variational PDE in the comparative analysis of the experimental effect [3, 4]
Summary
In the development of digital model construction of animation scene, the related digital image processing has a long history of development. The relation between PDE dedrying and classical filter dedrying is constructed, and the result of the fusion with the concept of scale space proposed by Witkin is the basic content of PDE image processing. After entering the 21st century, Tschumperle et al analysed and verified that the diffusion tensor in the divergence operator framework could not directly present the local diffusion behaviour of the model by using the divergence mode of TV denoising model They proposed a denoising model with trace operator as the core. On the basis of understanding the variational PDE, this paper makes a comparative analysis of the creation of the digital model of the animation scene and the image denoising and restoration technology, and makes clear the application advantages of variational PDE in the comparative analysis of the experimental effect [3, 4]
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