Optimum Exact Histogram Specification
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|Title:||Optimum Exact Histogram Specification||Authors:||Balado, Félix||Permanent link:||http://hdl.handle.net/10197/9975||Date:||20-Apr-2018||Online since:||2019-04-16T09:33:42Z||Abstract:||Exact histogram specification (EHS) is a classic image processing problem which generalises histogram equalisation. Over the years, no optimum solution to the EHS problem has been given with respect to any similarity criterion. An analytic and efficient solution to the optimum EHS problem, according to the mean squared error (MSE) criterion, is presented here. The inverse problem is also examined, and closed-form performance analyses are given in both cases.||Type of material:||Conference Publication||Publisher:||IEEE||Start page:||1413||End page:||1417||Copyright (published version):||2018 IEEE||Keywords:||Exact histogram specification; Histogram matching; Histogram equalisation||DOI:||10.1109/ICASSP.2018.8462242||Other versions:||https://2018.ieeeicassp.org/||Language:||en||Status of Item:||Peer reviewed||Conference Details:||2018 IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada (ICASSP-2018), 15-20 April 2018||ISBN:||978-1-5386-4658-8|
|Appears in Collections:||Computer Science Research Collection|
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