Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9253
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dc.contributor.authorWajid, Mohd-
dc.contributor.authorSharma, Mayank-
dc.date.accessioned2023-01-17T06:43:41Z-
dc.date.available2023-01-17T06:43:41Z-
dc.date.issued2015-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9253-
dc.description.abstractIn this article, we have presented an algorithm for separating the mixed or fused images. We have considered that the two independent histogram equalized digital images are linearly mixed, and the joint probability density function (PDF) or the scatter plot of the two observed or mixed images is used for separation. The objective and subjective separation results are presented, and observed to be better than the other existing techniques in terms of Peak signal-to-noise ratio (PSNR) and Signalto- interference ratio (SIR).en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectAlgorithmen_US
dc.subjectImagesen_US
dc.titleDigital Image Separation Algorithm Based on Joint Pdf of Mixed Imagesen_US
dc.typeArticleen_US
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