کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5488514 1524107 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A fusion algorithm for infrared and visible images based on RDU-PCNN and ICA-bases in NSST domain
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک اتمی و مولکولی و اپتیک
پیش نمایش صفحه اول مقاله
A fusion algorithm for infrared and visible images based on RDU-PCNN and ICA-bases in NSST domain
چکیده انگلیسی
The aim of infrared and visible image fusion is to enhance the feature in infrared image and preserve abundant detail information in visible image. Based on the fact that the human sense system accepts external stimulation only when the stimulus intensity is greater than a certain value and the reaction of neuronal cells have obvious regional characters, an image fusion algorithm based on region dual-channel unit-linking pulse coupled neural networks (RDU-PCNN) and independent component analysis (ICA) bases in non-subsampled shearlet transform (NSST) domain for infrared and visible images is proposed. RDU-PCNN we constructed has obvious regional characters and much lower computational costs. We trained ICA-bases using a number of images that the content and statistical properties are similar with the fusion images but applied it as low-frequency ICA-bases, which can reduce calculation complexity. Experimental results demonstrate that the proposed method can significantly improved the fusion quality and need less computational costs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Infrared Physics & Technology - Volume 79, November 2016, Pages 183-190
نویسندگان
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