JOURNAL ARTICLE

VARIATIONAL PDE-BASED MODELS FOR IMAGE FILTERING AND INPAINTING

Abstract

This work represents a survey of the main image denoising and inpainting techniques based on variational (enery-based) schemes that lead to nonlinear partial differential equation (PDE) –based filtering models. The variational denoising and restoration approaches are described first. Then, the energy-based structural image reconstruction models are surveyed here. Some of our own variational techniques proposed in these closely related image processing and analysis domains, will be also briefly described in this article.

Keywords:
Inpainting Noise reduction Image (mathematics) Image restoration Image processing Nonlinear system Image denoising Noise (video)

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Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Generative Adversarial Networks and Image Synthesis
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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