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 specificationHistogram matchingHistogram 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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