NDLI: Image dependent brightness preserving histogram equalization

Content Provider	IEEE Xplore Digital Library
Author	Rajavel, P.
Copyright Year	1975
Abstract	This paper proposes image-dependent brightness preserving histogram equalization (IDBPHE) technique to enhance image contrast while preserving image brightness. The curvelet transform and histogram matching technique are used to enhance image. The proposed IDBPHE technique undergoes two steps. (i) The curvelet transform is used to identify bright regions of the original image. (ii) Histogram of the original image is modified with respect to a histogram of the identified regions. Histogram of the original image is modified using a histogram of portion of the same image hence, it enhances image contrast while preserving image brightness without any undesired artifacts. A subjective assessment to compare the visual quality of the images is carried out. Absolute mean brightness error (AMBE) and peak signal to noise ratio (PSNR) are used to evaluate the effectiveness of the proposed method in the objective sense. The proposed method have been tested using several images and gives better visual quality and PSNR value as compared to several other methods.
Sponsorship	IEEE Consumer Electronics Society
File Size	2733470
File Format	PDF
ISSN	00983063
Volume Number	56
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-01
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 PSNR Image enhancement Entropy Testing Pixel Histogram equalization, curvelet transform
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

Adaptive contrast enhancement methods with brightness preserving

Color image enhancement using brightness preserving dynamic histogram equalization

Bi-histogram equalization with a plateau limit for digital image enhancement

Brightness Preserving Dynamic Histogram Equalization for Image Contrast Enhancement

Brightness preserving dynamic fuzzy histogram equalization

Brightness preserving weight clustering histogram equalization

Image sharpening using sub-regions histogram equalization

Image contrast enhancement using bi-histogram equalization with neighborhood metrics

Quadrants dynamic histogram equalization for contrast enhancement

Image dependent brightness preserving histogram equalization

Similar Documents

Adaptive contrast enhancement methods with brightness preserving

Color image enhancement using brightness preserving dynamic histogram equalization

Bi-histogram equalization with a plateau limit for digital image enhancement

Brightness Preserving Dynamic Histogram Equalization for Image Contrast Enhancement

Brightness preserving dynamic fuzzy histogram equalization

Brightness preserving weight clustering histogram equalization

Image sharpening using sub-regions histogram equalization

Image contrast enhancement using bi-histogram equalization with neighborhood metrics

Quadrants dynamic histogram equalization for contrast enhancement

Image dependent brightness preserving histogram equalization