Probabilistic decision based filter to remove impulse noise using patch else trimmed median

被引：26

作者：

Balasubramanian, G. ^{[1
]}

Chilambuchelvan, A. ^{[2
]}

Vijayan, S. ^{[3
]}

Gowrison, G. ^{[4
]}

机构：

[1] Inst Rd & Transport Technol, Dept Elect & Commun Engn, Erode 638316, India

[2] RMD Engn Coll, Dept Elect & Instrumentat Engn, Kavaraipettai 601206, India

[3] Surya Engn Coll, Dept Elect & Elect Engn, Erode 638107, India

[4] Inst Rd & Transport Technol, Elect & Commun Engn, Erode 638316, India

来源：

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS | 2016年 / 70卷 / 04期

关键词：

Decision based filter; Denoising; Impulse noise; Patch else trimmed median; Trimmed median; HIGH-DENSITY SALT; PEPPER NOISE; MEAN FILTER; IMAGES; ALGORITHMS;

D O I：

10.1016/j.aeue.2016.01.013

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new probabilistic decision based filter (PDBF) is presented to remove salt and pepper impulse noise in highly corrupted images. The filter employs two types of estimation techniques for denoising namely trimmed median (TM) and patch else trimmed median (PETM) which is our main contribution in this paper. Depending upon the estimated noise density, the filter utilizes either TM or PETM and hence enhanced outcome of denoising. Simulation results prove that the PDBF has outperformed recently proposed state-of-the-art filters in terms of peak signal to noise ratio (PSNR), structural similarity index (SSIM), image enhancement factor (IEF), mean absolute error (MAE) and visual representation at the noise densities (ND) as high as 95%. (C) 2016 Elsevier GmbH. All rights reserved.

引用

页码：471 / 481

页数：11

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