Image Deblurring with Impulse Noise using Alternating Direction Method of Multipliers and Lucy-Richardson Method

被引：2
|
作者：
Tigga, Usha [1 ]
Jha, Jaimala [1 ]
机构：
[1] MITS Coll, Dept CSE IT, Gwalior, Madhya Pradesh, India
来源：
2016 8TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN) | 2016年
关键词：
ADMM; Gaussian Blur; PSNR; Average Blur; Lucy-richardson; Median Filter; MSE; Impulse Noise;
D O I：
10.1109/CICN.2016.52
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, two different schemes are proposed to add noise in the image. Gaussian Filter or Average Filter has been proposed for blurring the image. Impulse noise is used in two terms namely, salt and pepper (SNP) and random noise (RN). Apply median filter for removing white noise. Switching median filter (SMF) for removing black noise. Using the alternating direction method of multipliers (ADMM) with a Lucy richardson algorithm for restoring original image. Noise robustness of the proposed scheme is tested with different noise strengths. The visual as well as the peak signal to noise ratio(PSNR in dB) of restored pictures are compared with competent recent schemes.
引用
收藏
页码：230 / 235
页数：6
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