NDLI: Minimum mean brightness error bi-histogram equalization in contrast enhancement

Content Provider	IEEE Xplore Digital Library
Author	Soong-Der Chen Ramli, A.R.
Copyright Year	1975
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 novel extension of BBHE referred to as minimum mean brightness error bi-histogram equalization (MMBEBHE) to provide maximum brightness preservation. BBHE separates the input image's histogram into two based on input mean before equalizing them independently. This paper proposes to perform the separation based on the threshold level, which would yield minimum absolute mean brightness error (AMBE - the absolute difference between input and output mean). An efficient recursive integer-based computation for AMBE has been formulated to facilitate real time implementation. Simulation results using sample image which represent images with very low, very high and medium mean brightness show that the cases which are not handled well by HE, BBHE and dualistic sub image histogram equalization (DSIHE), can be properly enhanced by MMBEBHE. Besides, MMBEBHE also demonstrate comparable performance with BBHE and DSIHE when come to use the sample images show in [Yeong-Taeg Kim, February 1997] and [Yu Wan et al., October 5 1999].
Sponsorship	IEEE Consumer Electronics Society
Starting Page	1310
Ending Page	1319
Page Count	10
File Size	1302487
File Format	PDF
ISSN	00983063
Volume Number	49
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brightness Histograms Consumer electronics Computational modeling Entropy Probability distribution Dynamic range Biomedical image processing Radar imaging
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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

Range Limited Quad-Histogram Equalization Method for Image Contrast Enhancement

Contrast enhancement using brightness preserving bi-histogram equalization

Brightness preserving weight clustering histogram equalization

A contrast enhancement method using dynamic range separate histogram equalization

Survey of Contrast Enhancement Techniques based on Histogram Equalization (2011)

Artifact suppressed image enhancement through Bi Histogram equalization

Color image enhancement using brightness preserving dynamic histogram equalization

Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement

Minimum mean brightness error bi-histogram equalization in contrast enhancement

Similar Documents

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

Range Limited Quad-Histogram Equalization Method for Image Contrast Enhancement

Contrast enhancement using brightness preserving bi-histogram equalization

Brightness preserving weight clustering histogram equalization

A contrast enhancement method using dynamic range separate histogram equalization

Survey of Contrast Enhancement Techniques based on Histogram Equalization (2011)

Artifact suppressed image enhancement through Bi Histogram equalization

Color image enhancement using brightness preserving dynamic histogram equalization

Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement

Minimum mean brightness error bi-histogram equalization in contrast enhancement