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

Usha P. Tigga, Jaimala Jha
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引用次数: 1

Abstract

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.
基于乘法器交替方向法和Lucy-Richardson方法的脉冲噪声图像去模糊
本文提出了两种不同的图像加噪方案。高斯滤波器或平均滤波器被提出用于模糊图像。脉冲噪声有两个术语,即盐和胡椒噪声(SNP)和随机噪声(RN)。应用中值滤波去除白噪声。开关中值滤波器(SMF)用于去除黑噪声。采用交替方向乘法器(ADMM)和Lucy richardson算法对原始图像进行恢复。用不同的噪声强度测试了该方案的噪声鲁棒性。对恢复图像的视觉效果和峰值信噪比(PSNR,单位dB)进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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