An efficient approach for the removal of impulse noise from the corrupted image using neural network based impulse detector

被引：46

作者：

Kaliraj, G. ^{[1
]}

Baskar, S. ^{[2
]}

机构：

[1] Tessolve Serv Pvt Ltd, RF Testing Dept, Madras, Tamil Nadu, India

[2] Thiagarajar Coll Engn, Dept Elect & Elect Engn, Madurai, Tamil Nadu, India

来源：

IMAGE AND VISION COMPUTING | 2010年 / 28卷 / 03期

关键词：

Neural network; Image filtering; Impulse detector; Impulse noise; FILTERS;

D O I：

10.1016/j.imavis.2009.07.007

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new efficient approach to detect the impulse noise from the corrupted image using feed forward neural network (FFNN) is presented. A modified version of the arithmetic mean filter is proposed to remove the detected impulse noise. The performance of proposed noise detection approach is analyzed using the performance measures such as False Alarm Ratio (FAR), Missed Noise (MN) pixels and Falsely Detected Noise (FDN) pixels. The simulation results show that these performances are robust even at higher percentage of noise. The filtered result is compared with the other recent approaches in terms of Peak Signal to Noise Ratio (PSNR). The proposed method produces remarkably good results both in quantitative measures and qualitative judgments of image quality. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：458 / 466

页数：9

共 50 条

[1] An approach to remove impulse noise from a corrupted image
Jin, Cong
Yan, Meng
Jin, Shu-Wei
[J]. JOURNAL OF OPTICS, 2013, 15 (02)
[2] A new efficient approach for the removal of impulse noise from highly corrupted images
Abreu, E
Lightstone, M
Mitra, SK
Arakawa, K
[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1996, 5 (06) : 1012 - 1025
[3] An efficient algorithm for the removal of impulse noise from corrupted images
Luo, Wenbin
[J]. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2007, 61 (08) : 551 - 555
[4] A HVS-directed neural-network-based approach for impulse-noise removal from highly corrupted images
Lu, SM
Pu, HC
Lin, CT
[J]. 2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, : 72 - 77
[5] An Impulse Noise Removal Based on a Wavelet Neural Network
Deng, Chao
An, Ji Yu
[J]. ICIC 2009: SECOND INTERNATIONAL CONFERENCE ON INFORMATION AND COMPUTING SCIENCE, VOL 2, PROCEEDINGS: IMAGE ANALYSIS, INFORMATION AND SIGNAL PROCESSING, 2009, : 71 - 74
[6] A new neural network based multiuser detector in impulse noise
Weng, JF
Leung, SH
Lau, WH
Bi, GG
[J]. 1996 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS - CONVERGING TECHNOLOGIES FOR TOMORROW'S APPLICATIONS, VOLS. 1-3, 1996, : 541 - 545
[7] Removal of impulse noise from highly corrupted images by using noise position information and directional information of image
Taguchi, A
Matsumoto, T
[J]. NONLINEAR IMAGE PROCESSING AND PATTERN ANALYSIS XII, 2001, 4304 : 188 - 196
[8] Removal of impulse noise from highly corrupted images by using noise position information and directional information of image
Matsumoto, T
Taguchi, A
[J]. ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 2003, 86 (03): : 33 - 43
[9] An adaptive-size median filter for impulse noise removal using neural network-based detector
Rashidha, R.
Simon, Philomina
[J]. INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING, 2016, 9 (4-5) : 305 - 310
[10] Automatic removal of impulse noise from highly corrupted images
Kober, V
Mozerov, M
Alvarez-Borrego, J
[J]. PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS AND APPLICATIONS, PROCEEDINGS, 2005, 3773 : 34 - 41

← 1 2 3 4 5 →