2010•Journal of Central South University(Science and Technology)Requires access

Anisotropic diffusion smoothing of mixed noise

Jiabin Yan

Open publisher page 1 citations

Abstract

Based on the fact that there is intrinsic drawback for median filter, linear filter and tradition anisotropic diffusion to mixed noise, a new diffusion model was proposed by modifying the calculation method of diffusion term and improving filter capability of the model. The improved model possesses band-pass filer characteristic, diffuses processing stability and satisfies the max-min principle. The simulation results show that the median filter is only proper for outlies noise and removes the thin line and corners of image. The linear filter extends or blurs the boundary of image. The anisotropic diffusion removes random noise effectively, but it brings about illusive edge and back diffusion for outlies noise. The improved model that possesses both median filter characteristics and anisotropic diffusion capability is proper for various mixed noise and can sufficiently protect the detailed characteristic such as corner, thin line and edge.

About this research paper

What this paper is about

Based on the fact that there is intrinsic drawback for median filter, linear filter and tradition anisotropic diffusion to mixed noise, a new diffusion model was proposed by modifying the calculation method of diffusion term and improving filter capability of the model. The improved model possesses band-pass filer characteristic, diffuses processing stability and satisfies the max-min principle. The simulation results show that the median filter is only proper for outlies noise and removes the thin line and corners of image. The linear filter extends or blurs the boundary of image. The anisotropic diffusion removes random noise effectively, but it brings about illusive edge and back diffusion for outlies noise. The improved model that possesses both median filter characteristics and anisotropic diffusion capability is proper for various mixed noise and can sufficiently protect the detailed characteristic such as corner, thin line and edge.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Based on the fact that there is intrinsic drawback for median filter, linear filter and tradition anisotropic diffusion to mixed noise, a new diffusion model was proposed by modifying the calculation method of diffusion term and improving filter capability of the model. The improved model possesses band-pass filer characteristic, diffuses processing stability and satisfies the max-min principle. The simulation results show that the median filter is only proper for outlies noise and removes the thin line and corners of image. The linear filter extends or blurs the boundary of image. The anisotropic diffusion removes random noise effectively, but it brings about illusive edge and back diffusion for outlies noise. The improved model that possesses both median filter characteristics and anisotropic diffusion capability is proper for various mixed noise and can sufficiently protect the detailed characteristic such as corner, thin line and edge.

Key concepts: Edge-preserving smoothing, Anisotropic diffusion, Noise (video), Smoothing, Diffusion, Filter (signal processing), Median filter, Enhanced Data Rates for GSM Evolution

Related papers

Back to paper searchBrowse research topicsOriginal source
Anisotropic diffusion smoothing of mixed noise — Research Paper | ScholarLens