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Then dual-tree complex wavelet transform (DTCWT) is used to obtain low-pass and high-pass coefficients of images, as it is shift-invariant and has high directional selectivity. The low-pass coefficients are fused using the SR- and SF-based fusion rules in parallel, which enhances the regional features of the images. The simulation results show that the proposed technique has better performance when compared with conventional techniques in both subjective and objective evaluations. <\/jats:p>","DOI":"10.1142\/s0219467821500170","type":"journal-article","created":{"date-parts":[[2020,10,31]],"date-time":"2020-10-31T07:36:47Z","timestamp":1604129807000},"page":"2150017","source":"Crossref","is-referenced-by-count":7,"title":["Infrared and Visible Image Fusion Based on Sparse Representation and Spatial Frequency in DTCWT Domain"],"prefix":"10.1142","volume":"21","author":[{"given":"Sumit","family":"Budhiraja","sequence":"first","affiliation":[{"name":"Electronics and Communication Engineering, University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India"}]},{"given":"Iftisam","family":"Rummy","sequence":"additional","affiliation":[{"name":"Electronics and Communication Engineering, University Institute of Engineering and Technology, Panjab University, Chandigarh 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