Work

PDE based inpainting algorithms: performance evaluation of the Cahn-Hillard model

Year: 2016

Type: preprint

Abstract: Image inpainting consists in restoring a missing or a damaged part of an image on the basis of the signal information in the pixels surrounding the missing domain. To this aim a suitable image model is needed to represent the signal features to be reproduced within the inpainting domain, also depending on the size of the missing area. With no claim of completeness, in this paper the main streamline of the development of the PDE based models is retraced. Then, the Cahn-Hillard model for binary images is analyzed in detail and its performances are evaluated on some numerical experiments.

Source: RePEc: Research Papers in Economics

Authors: Alberto De Santis, Roberto Castorrini

Language: English

Topic: Image and Signal Denoising Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2561704591

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