A Parametric Logarithmic Image Processing Framework Based on Fuzzy Graylevel Accumulation by the Hamacher T-Conorm

A Parametric Logarithmic Image Processing Framework Based on Fuzzy Graylevel Accumulation by the Hamacher T-Conorm

It has been proven that Logarithmic Image Processing (LIP) models provide a suitable framework for visualizing and enhancing digital images acquired by various sources. The most visible (although simplified) result of using such a model is that LIP allows the computation of graylevel addition, subtr...

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Bibliographic Details
Main Authors: Constantin Vertan, Corneliu Florea, Laura Florea
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
logarithmic image processing
image processing models
fuzzy image processing
T-conorms
Online Access:https://www.mdpi.com/1424-8220/21/14/4857
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spelling doaj-3236c6baa6c84d25a64ee043d272ae562021-07-23T14:06:00ZengMDPI AGSensors1424-82202021-07-01214857485710.3390/s21144857A Parametric Logarithmic Image Processing Framework Based on Fuzzy Graylevel Accumulation by the Hamacher T-ConormConstantin Vertan0Corneliu Florea1Laura Florea2LAPI—The Image Analysis and Processing Laboratory, Politehnica University of Bucharest, 060042 Bucharest, RomaniaLAPI—The Image Analysis and Processing Laboratory, Politehnica University of Bucharest, 060042 Bucharest, RomaniaLAPI—The Image Analysis and Processing Laboratory, Politehnica University of Bucharest, 060042 Bucharest, RomaniaIt has been proven that Logarithmic Image Processing (LIP) models provide a suitable framework for visualizing and enhancing digital images acquired by various sources. The most visible (although simplified) result of using such a model is that LIP allows the computation of graylevel addition, subtraction and multiplication with scalars within a fixed graylevel range without the use of clipping. It is claimed that a generalized LIP framework (i.e., a parameterized family of LIP models) can be constructed on the basis of the fuzzy modelling of gray level addition as an accumulation process described by the Hamacher conorm. All the existing LIP and LIP-like models are obtained as particular cases of the proposed framework in the range corresponding to real-world digital images.https://www.mdpi.com/1424-8220/21/14/4857logarithmic image processingimage processing modelsfuzzy image processingT-conorms
collection DOAJ
language English
format Article
sources DOAJ
author Constantin Vertan
Corneliu Florea
Laura Florea
spellingShingle Constantin Vertan
Corneliu Florea
Laura Florea
A Parametric Logarithmic Image Processing Framework Based on Fuzzy Graylevel Accumulation by the Hamacher T-Conorm
Sensors
logarithmic image processing
image processing models
fuzzy image processing
T-conorms
author_facet Constantin Vertan
Corneliu Florea
Laura Florea
author_sort Constantin Vertan
title A Parametric Logarithmic Image Processing Framework Based on Fuzzy Graylevel Accumulation by the Hamacher T-Conorm
title_short A Parametric Logarithmic Image Processing Framework Based on Fuzzy Graylevel Accumulation by the Hamacher T-Conorm
title_full A Parametric Logarithmic Image Processing Framework Based on Fuzzy Graylevel Accumulation by the Hamacher T-Conorm
title_fullStr A Parametric Logarithmic Image Processing Framework Based on Fuzzy Graylevel Accumulation by the Hamacher T-Conorm
title_full_unstemmed A Parametric Logarithmic Image Processing Framework Based on Fuzzy Graylevel Accumulation by the Hamacher T-Conorm
title_sort parametric logarithmic image processing framework based on fuzzy graylevel accumulation by the hamacher t-conorm
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2021-07-01
description It has been proven that Logarithmic Image Processing (LIP) models provide a suitable framework for visualizing and enhancing digital images acquired by various sources. The most visible (although simplified) result of using such a model is that LIP allows the computation of graylevel addition, subtraction and multiplication with scalars within a fixed graylevel range without the use of clipping. It is claimed that a generalized LIP framework (i.e., a parameterized family of LIP models) can be constructed on the basis of the fuzzy modelling of gray level addition as an accumulation process described by the Hamacher conorm. All the existing LIP and LIP-like models are obtained as particular cases of the proposed framework in the range corresponding to real-world digital images.
topic logarithmic image processing
image processing models
fuzzy image processing
T-conorms
url https://www.mdpi.com/1424-8220/21/14/4857
work_keys_str_mv AT constantinvertan aparametriclogarithmicimageprocessingframeworkbasedonfuzzygraylevelaccumulationbythehamachertconorm
AT corneliuflorea aparametriclogarithmicimageprocessingframeworkbasedonfuzzygraylevelaccumulationbythehamachertconorm
AT lauraflorea aparametriclogarithmicimageprocessingframeworkbasedonfuzzygraylevelaccumulationbythehamachertconorm
AT constantinvertan parametriclogarithmicimageprocessingframeworkbasedonfuzzygraylevelaccumulationbythehamachertconorm
AT corneliuflorea parametriclogarithmicimageprocessingframeworkbasedonfuzzygraylevelaccumulationbythehamachertconorm
AT lauraflorea parametriclogarithmicimageprocessingframeworkbasedonfuzzygraylevelaccumulationbythehamachertconorm
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