Digital model creation and image meticulous processing based on variational partial differential equation

Author:

Wang Pei1,Sulaimani Hani Jamal2,Kim Sae Hoon1

Affiliation:

1. Sejong University , Seoul , , Korea

2. Department of Computer Information Systems, Faculty of Computing and Information Technology , King Abdulaziz University , Jeddah , Saudi Arabia

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.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Reference9 articles.

1. Ningli Luan, Cong. Jin Total Variational Image Denoising Model Based on Weighting Function [J]. Electronic Measurement Technology, 2018, 041(007):58–63.

2. Kumar B, Halim A. A linear fourth-order PDE-based gray-scale image inpainting model[J]. Computational and Applied Mathematics, 2019, 38(1):-.

3. F Tony, Chan Shen., Jianhong (Jackie)Shen, Luminitavese, et al. A Variational Partial Differential Equation Model for Image Processing (I)[J]. Mathematics Translin, 2004.

4. Jing He, Xiaoqian You. Research on Parallel Image Enhancement Based on Total Variational Model. Microcomputer Information, 2008, 24(003):314–316.

5. Shen J. A Stochastic-Variational Model for Soft Mumford-Shah Segmentation[J]. Int J Biomed Imaging, 2006(14):92329.

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