A Review on Multilevel Image Fusion Using Wavelet and Curvelet Transform
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 6
Abstract
Image fusion is widely used term in different applications namely satellite imaging, remote sensing, multifocus imaging and medical imaging. This paper presents a literature review on multi-level image fusion in which fusion is carried out in two stages. Firstly, discrete wavelet or Fast Discrete Curvelet transform is applied on both source images and secondly image fusion is carried out with either spatial domain method like Averaging. Further, comparative analysis of fused image obtained from both Discrete Wavelet and Fast Discrete Curvelet transform is done which proves effective image fusion using proposed Curvelet transform than Wavelet transform through enhanced visual quality of fused image and by analysis of 7 quality metrics parameters. The proposed method is very innovative which can be applied to medical and multifocus imaging applications in real time. These analyses can be useful for further research work in image fusion.
Authors and Affiliations
Tejashri Polkamwar, Alpana Deshmukh
Keywords
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