Multidimensional histogram equalization and modification

Anthony McCollum; William Clocksin

doi:10.1109/ICIAP.2007.4362852

Multidimensional histogram equalization and modification

Anthony McCollum, William Clocksin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

We describe an approach toward multidimensional histogram equalization for the enhancement of color and multispectral images, based on the histogram explosion algorithm. A development from first principles is presented. We show that in, the multidimensional case, one-dimensional histogram equalization becomes a scalar multiplication of a vector quantity. An image noise reduction scheme is devised using a model of multispectral noise behaviour that is analogous to the behaviour of local spatial noise. Practical results are presented indicating that the method reveals subtle image features and respects the tone of the originals more consistently than earlier methods.

Original language	English
Title of host publication	Procs of 14th Int Conf on Image Analysis and Processing
Subtitle of host publication	ICIAP 2007
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	659-664
ISBN (Print)	978-0-7695-2877-9
DOIs	https://doi.org/10.1109/ICIAP.2007.4362852
Publication status	Published - 2007
Event	14th Int Conf on Image Analysis & processing - Modena, Italy Duration: 10 Sept 2007 → 13 Sept 2007

Conference

Conference	14th Int Conf on Image Analysis & processing
Country/Territory	Italy
City	Modena
Period	10/09/07 → 13/09/07

Access to Document

10.1109/ICIAP.2007.4362852

Cite this

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title = "Multidimensional histogram equalization and modification",

abstract = "We describe an approach toward multidimensional histogram equalization for the enhancement of color and multispectral images, based on the histogram explosion algorithm. A development from first principles is presented. We show that in, the multidimensional case, one-dimensional histogram equalization becomes a scalar multiplication of a vector quantity. An image noise reduction scheme is devised using a model of multispectral noise behaviour that is analogous to the behaviour of local spatial noise. Practical results are presented indicating that the method reveals subtle image features and respects the tone of the originals more consistently than earlier methods.",

author = "Anthony McCollum and William Clocksin",

year = "2007",

doi = "10.1109/ICIAP.2007.4362852",

language = "English",

isbn = "978-0-7695-2877-9",

pages = "659--664",

booktitle = "Procs of 14th Int Conf on Image Analysis and Processing",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "14th Int Conf on Image Analysis & processing ; Conference date: 10-09-2007 Through 13-09-2007",

}

TY - GEN

T1 - Multidimensional histogram equalization and modification

AU - McCollum, Anthony

AU - Clocksin, William

PY - 2007

Y1 - 2007

N2 - We describe an approach toward multidimensional histogram equalization for the enhancement of color and multispectral images, based on the histogram explosion algorithm. A development from first principles is presented. We show that in, the multidimensional case, one-dimensional histogram equalization becomes a scalar multiplication of a vector quantity. An image noise reduction scheme is devised using a model of multispectral noise behaviour that is analogous to the behaviour of local spatial noise. Practical results are presented indicating that the method reveals subtle image features and respects the tone of the originals more consistently than earlier methods.

AB - We describe an approach toward multidimensional histogram equalization for the enhancement of color and multispectral images, based on the histogram explosion algorithm. A development from first principles is presented. We show that in, the multidimensional case, one-dimensional histogram equalization becomes a scalar multiplication of a vector quantity. An image noise reduction scheme is devised using a model of multispectral noise behaviour that is analogous to the behaviour of local spatial noise. Practical results are presented indicating that the method reveals subtle image features and respects the tone of the originals more consistently than earlier methods.

U2 - 10.1109/ICIAP.2007.4362852

DO - 10.1109/ICIAP.2007.4362852

M3 - Conference contribution

SN - 978-0-7695-2877-9

SP - 659

EP - 664

BT - Procs of 14th Int Conf on Image Analysis and Processing

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 14th Int Conf on Image Analysis & processing

Y2 - 10 September 2007 through 13 September 2007

ER -

Multidimensional histogram equalization and modification

Abstract

Conference

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