Balado, FélixFélixBalado2019-04-162019-04-162018 IEEE2018-04-20978-1-5386-4658-8http://hdl.handle.net/10197/99752018 IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada (ICASSP-2018), 15-20 April 2018Exact 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.en© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Exact histogram specificationHistogram matchingHistogram equalisationConference Publication1413141710.1109/ICASSP.2018.84622422018-05-03https://creativecommons.org/licenses/by-nc-nd/3.0/ie/