Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation

Soong Der Chen, Abd Rahman Ramli

Research output: Contribution to journalArticle

479 Citations (Scopus)

Abstract

Histogram equalization (HE) is widely used for contrast enhancement. However, it tends to change the brightness of an image and hence, not suitable for consumer electronic products, where preserving the original brightness is essential to avoid annoying artifacts. Bi-histogram equalization (BBHE) has been proposed and analyzed mathematically that it can preserve the original brightness to a certain extends. However, there are still cases that are not handled well by BBHE, as they require higher degree of preservation. This paper proposes a generalization of BBHE referred to as Recursive Mean-Separate' Histogram Equalization (RMSHE) to provide not only better but also scalable brightness preservation. BBHE separates the input image's histogram into two based on its mean before equalizing them independently. While the separation is done only once in BBHE, this paper proposes to perform the separation recursively; separate each new histogram further based on their respective mean. It is analyzed mathematically that the output image's mean brightness will converge to the input image's mean brightness as the number of recursive mean separation increases. Besides, the recursive nature of RMSHE also allows scalable brightness preservation, which is very useful in consumer electronics. Simulation results show that the cases which are not handled well by HE, BBHE and Dualistic Sub Image Histogram Equalization (DSIHE), have been properly enhanced by RMSHE.

Original languageEnglish
Pages (from-to)1301-1309
Number of pages9
JournalIEEE Transactions on Consumer Electronics
Volume49
Issue number4
DOIs
Publication statusPublished - 01 Jan 2003

Fingerprint

Luminance
Consumer electronics

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

Cite this

@article{bf36962fea7745adb540f54a57a5a123,
title = "Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation",
abstract = "Histogram equalization (HE) is widely used for contrast enhancement. However, it tends to change the brightness of an image and hence, not suitable for consumer electronic products, where preserving the original brightness is essential to avoid annoying artifacts. Bi-histogram equalization (BBHE) has been proposed and analyzed mathematically that it can preserve the original brightness to a certain extends. However, there are still cases that are not handled well by BBHE, as they require higher degree of preservation. This paper proposes a generalization of BBHE referred to as Recursive Mean-Separate' Histogram Equalization (RMSHE) to provide not only better but also scalable brightness preservation. BBHE separates the input image's histogram into two based on its mean before equalizing them independently. While the separation is done only once in BBHE, this paper proposes to perform the separation recursively; separate each new histogram further based on their respective mean. It is analyzed mathematically that the output image's mean brightness will converge to the input image's mean brightness as the number of recursive mean separation increases. Besides, the recursive nature of RMSHE also allows scalable brightness preservation, which is very useful in consumer electronics. Simulation results show that the cases which are not handled well by HE, BBHE and Dualistic Sub Image Histogram Equalization (DSIHE), have been properly enhanced by RMSHE.",
author = "Chen, {Soong Der} and Ramli, {Abd Rahman}",
year = "2003",
month = "1",
day = "1",
doi = "10.1109/TCE.2003.1261233",
language = "English",
volume = "49",
pages = "1301--1309",
journal = "IEEE Transactions on Consumer Electronics",
issn = "0098-3063",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation. / Chen, Soong Der; Ramli, Abd Rahman.

In: IEEE Transactions on Consumer Electronics, Vol. 49, No. 4, 01.01.2003, p. 1301-1309.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation

AU - Chen, Soong Der

AU - Ramli, Abd Rahman

PY - 2003/1/1

Y1 - 2003/1/1

N2 - Histogram equalization (HE) is widely used for contrast enhancement. However, it tends to change the brightness of an image and hence, not suitable for consumer electronic products, where preserving the original brightness is essential to avoid annoying artifacts. Bi-histogram equalization (BBHE) has been proposed and analyzed mathematically that it can preserve the original brightness to a certain extends. However, there are still cases that are not handled well by BBHE, as they require higher degree of preservation. This paper proposes a generalization of BBHE referred to as Recursive Mean-Separate' Histogram Equalization (RMSHE) to provide not only better but also scalable brightness preservation. BBHE separates the input image's histogram into two based on its mean before equalizing them independently. While the separation is done only once in BBHE, this paper proposes to perform the separation recursively; separate each new histogram further based on their respective mean. It is analyzed mathematically that the output image's mean brightness will converge to the input image's mean brightness as the number of recursive mean separation increases. Besides, the recursive nature of RMSHE also allows scalable brightness preservation, which is very useful in consumer electronics. Simulation results show that the cases which are not handled well by HE, BBHE and Dualistic Sub Image Histogram Equalization (DSIHE), have been properly enhanced by RMSHE.

AB - Histogram equalization (HE) is widely used for contrast enhancement. However, it tends to change the brightness of an image and hence, not suitable for consumer electronic products, where preserving the original brightness is essential to avoid annoying artifacts. Bi-histogram equalization (BBHE) has been proposed and analyzed mathematically that it can preserve the original brightness to a certain extends. However, there are still cases that are not handled well by BBHE, as they require higher degree of preservation. This paper proposes a generalization of BBHE referred to as Recursive Mean-Separate' Histogram Equalization (RMSHE) to provide not only better but also scalable brightness preservation. BBHE separates the input image's histogram into two based on its mean before equalizing them independently. While the separation is done only once in BBHE, this paper proposes to perform the separation recursively; separate each new histogram further based on their respective mean. It is analyzed mathematically that the output image's mean brightness will converge to the input image's mean brightness as the number of recursive mean separation increases. Besides, the recursive nature of RMSHE also allows scalable brightness preservation, which is very useful in consumer electronics. Simulation results show that the cases which are not handled well by HE, BBHE and Dualistic Sub Image Histogram Equalization (DSIHE), have been properly enhanced by RMSHE.

UR - http://www.scopus.com/inward/record.url?scp=1542752833&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=1542752833&partnerID=8YFLogxK

U2 - 10.1109/TCE.2003.1261233

DO - 10.1109/TCE.2003.1261233

M3 - Article

VL - 49

SP - 1301

EP - 1309

JO - IEEE Transactions on Consumer Electronics

JF - IEEE Transactions on Consumer Electronics

SN - 0098-3063

IS - 4

ER -