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2016•Unpublished venueRequires access

Partial differential equation diffusion in complex domain

Lanlan Li, Jinsong Wu

Open publisher page 2 citations

Abstract

In the course of noise removal by means of anisotropic diffusion method, it is important to maintain image smooth and preserve image features. In this paper, a new anisotropic diffusion in complex field is proposed with better smoothing effects as well as well preserving image edges well. Experiment results have shown the effectiveness of this proposed method.

About this research paper

What this paper is about

In the course of noise removal by means of anisotropic diffusion method, it is important to maintain image smooth and preserve image features. In this paper, a new anisotropic diffusion in complex field is proposed with better smoothing effects as well as well preserving image edges well. Experiment results have shown the effectiveness of this proposed method.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

In the course of noise removal by means of anisotropic diffusion method, it is important to maintain image smooth and preserve image features. In this paper, a new anisotropic diffusion in complex field is proposed with better smoothing effects as well as well preserving image edges well. Experiment results have shown the effectiveness of this proposed method.

Key concepts: Anisotropic diffusion, Smoothing, Partial differential equation, Diffusion, Edge-preserving smoothing, Noise (video), Image (mathematics), Computer science

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