UNIVERSAL IMAGE NOISE REMOVAL FILTER BASED ON TYPE-2 FUZZY LOGIC SYSTEM AND QPSO

IF 1 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2012-09-11 DOI:10.1142/S0218488512400211

Daoyuan Zhai, M. Hao, J. Mendel

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引用次数: 19

Abstract

Removing Mixed Gaussian and Impulse Noise (MGIN) is considered to be one of the most essential topics in the domain of image restoration, and it is much more challenging than to remove pure Gaussian or impulse noise separately. Therefore, relatively fewer works have been published in this area. This paper proposes a new integrated approach for MGIN removal that is based on a Non-Singleton Interval Type-2 (NS-IT2) Fuzzy Logic System (FLS), and explains how to design such a NS-IT2 FLS using a Quantum-behaved Particle Swarm Optimization (QPSO) algorithm. Then the paper goes on to introduce two supplementary components, a Block-Matching 3-Dimensional Discrete Cosine Transformation (BM3D DCT) filter and a contrast scaling filter, which augment the overall performance of the NS-IT2 FLS. Finally, the paper shows that this proposed approach indeed provides both quantitatively and visually much better results compared to other often-used non-fuzzy techniques as well as its Type-1 (T1) and singleton IT2 (S-IT2) counterparts.

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基于二类模糊逻辑系统和qpso的通用图像去噪滤波器

去除混合高斯和脉冲噪声(MGIN)被认为是图像恢复领域中最重要的课题之一，它比单独去除纯高斯和脉冲噪声更具挑战性。因此，在这方面发表的作品相对较少。本文提出了一种基于非单点区间2型(NS-IT2)模糊逻辑系统(FLS)的综合MGIN去除方法，并解释了如何利用量子粒子群优化(QPSO)算法设计NS-IT2模糊逻辑系统。然后介绍了两个补充组件，即块匹配三维离散余弦变换(BM3D DCT)滤波器和对比度缩放滤波器，它们增强了NS-IT2 FLS的整体性能。最后，本文表明，与其他常用的非模糊技术以及Type-1 (T1)和单例IT2 (S-IT2)相比，该方法确实在定量和视觉上都提供了更好的结果。

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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来源期刊

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 工程技术-计算机：人工智能

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

13.5 months

期刊介绍： The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems is a forum for research on various methodologies for the management of imprecise, vague, uncertain or incomplete information. The aim of the journal is to promote theoretical or methodological works dealing with all kinds of methods to represent and manipulate imperfectly described pieces of knowledge, excluding results on pure mathematics or simple applications of existing theoretical results. It is published bimonthly, with worldwide distribution to researchers, engineers, decision-makers, and educators.