A social spider optimized image fusion approach for contrast enhancement and brightness preservation

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• 作者：Lalit Maurya^a ; ^b ; ^{lalitmaurya47@gmail.com}Author Vitae ; Prasant Kumar Mahapatra^a ; ^{prasant22@csio.res.in} ; ^{prasant22@gmail.com}Author Vitae ; Amod Kumar^a ; ^{csioamod@yahoo.com}Author Vitae
• 关键词：Social spider optimization ; Particle swarm optimization algorithm ; Image enhancement ; Image fusion ; Histogram equalization ; Linear contrast stretching
• 刊名：Applied Soft Computing
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：52
• 期：Complete
• 页码：575-592
• 全文大小：4460 K
• 卷排序：52

文摘

A social spider optimized image fusion approach is proposed for image enhancement. The resultant enhanced image has an optimal trade-off between sharpness and noise. Performance and robustness of the proposed method is tested, and validated the results with well-known algorithms. The proposed method may be easily extended to other applications.