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The proposed approach is tested on three standard images and then compared with the previous methods using standard metrics. Real Passive Millimeter Wave (PMMW) images are also used to obtain the sharp deblurred images. Simulation results show that the proposed method can improve the quality of the restored image.<\/jats:p>","DOI":"10.1142\/s0218126618501074","type":"journal-article","created":{"date-parts":[[2017,11,1]],"date-time":"2017-11-01T08:48:35Z","timestamp":1509526115000},"page":"1850107","source":"Crossref","is-referenced-by-count":3,"title":["Regularization-Based Semi-Blind Image Deconvolution Using an Improved Function for PMMW Images Application"],"prefix":"10.1142","volume":"27","author":[{"given":"M. A.","family":"Mansoori","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran"}]},{"given":"M. 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