Fuzzy Based Hybrid Focus Value Estimation for Multi Focus Image Fusion

作     者：Muhammad Ahmad M.Arfan Jaffar Fawad Nasim Tehreem Masood Sheeraz Akram 

作者机构：The Superior University Lahore54000Pakistan University of Pittsburgh15213USA 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第71卷第4期

页      面：735-752页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Fuzzy logic multi-focus image fusion defocus focus contrast visibility focus measure 

摘      要：Due to limited depth-of-field of digital single-lens reflex cameras,the scene content within a limited distance from the imaging plane remains in focus while other objects closer to or further away from the point of focus appear as blurred(out-of-focus)in the ***-Focus Image Fusion can be used to reconstruct a fully focused image from two or more partially focused images of the same *** this paper,a new Fuzzy Based Hybrid Focus Measure(FBHFM)for multi-focus image fusion has been *** block size is very critical step for multi-focus image *** Swarm Optimization(PSO)algorithm has been used to find optimal size of the block of the images for extraction of focus measure *** finding optimal blocks,three focus measures Sum of Modified Laplacian,Gray Level Variance and Contrast Visibility has been extracted and combined these focus measures by using intelligent fuzzy *** based hybrid intelligent focus values were estimated using contrast visibility measure to generate focused *** sets of multi-focus images have been used in detailed experimentation and compared the results with state-of-the-art existing techniques such as Genetic Algorithm(GA),Principal Component Analysis(PCA),Laplacian Pyramid discrete wavelet transform(DWT),and aDWT for image *** has been found that proposed method performs well as compare to existing methods.