T2FCS filter: Type 2 fuzzy and cuckoo search-based filter design for image restoration

作     者：Kumar, Sagenela Vijaya Nagaraju, C. 

作者机构：Raj Gandhi Mem Coll Engn & Technol Nandyal India JNTUH Dept CSE Hyderabad India Yogivemana Univ YSR Engn Coll Dept CSE Proddatur India 

出 版 物：《JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION》 (可视通信与图像显示杂志)

年 卷 期：2019年第58卷第Jan.期

页      面：619-641页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Cuckoo search optimization algorithm Type If fuzzy system Image de-noising and restoration Second derivative like measure of enhancement 

摘      要：A novel filter design for the restoration of the corrupted digital image is proposed in this paper, The filter design incorporates type II fuzzy system and cuckoo search optimization algorithm (T2FCS) based filter design for the restoration of the noise in the images. The noisy pixels in the images are detected using the proposed circular based searching scheme and the detected corrupt pixels are removed using the cuckoo search algorithm. The enhanced pixels in place of the corrupt pixels are acquired using the proposed type II fuzzy system. The proposed filter adapts to various noisy conditions such as random noise, salt and pepper noise and scratch noise. The experimentation of the proposed filter design is carried out over two images. The performance of the proposed T2FCS filter design is compared over the existing image restoration algorithms using metrics;Peak Signal to Noise ratio (PSNR), Structural Similarity Index (SSIM), Second Derivative Like Measure of Enhancement (SDME). The result obtained favours the performance of the proposed filter in the restoration of the noisy images. (C) 2018 Published by Elsevier Inc.