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Optimum Exact Histogram Specification
Author(s)
Date Issued
2018-04-20
Date Available
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
Web versions
Language
English
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
This item is made available under a Creative Commons License
File(s)
No Thumbnail Available
Name
exact_histogram_specification.pdf
Size
271.31 KB
Format
Adobe PDF
Checksum (MD5)
9e396dd447143822bd0cd3ad63cfb719
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