Brightness-preserving weighted subimages for contrast enhancement of gray-level images

Zongwei Lu

doi:10.1117/1.JEI.21.3.033001

9 July 2012 Brightness-preserving weighted subimages for contrast enhancement of gray-level images

Zongwei Lu

Author Affiliations +

Journal of Electronic Imaging, Vol. 21, Issue 3, 033001 (July 2012). https://doi.org/10.1117/1.JEI.21.3.033001

Abstract

Although many histogram equalization (HE) based methods have been developed to overcome the problem of mean-shift, they often suffer from over-enhancement caused by an abrupt jump of gray levels. Consequently, mean brightness cannot be preserved with higher accuracy. In this paper, one simple and efficient method, brightness-preserving weighted subimages (BPWSI), for brightness preservation and contrast enhancement of gray level images is proposed. First, based on brightness preserving bi-histogram equalization, two new subimages are defined. Then one brightness-preserving way to calculate two weight coefficients is given. Finally, the output image is defined as the weighted sum of two defined subimages. Extensive simulations show that BPWSI can preserve the mean brightness with higher accuracy than many other HE-based methods while enhancing the contrast efficiently. Furthermore, due to its simplicity, BPWSI can be implemented on real-time systems.

Citation Download Citation

Zongwei Lu "Brightness-preserving weighted subimages for contrast enhancement of gray-level images," Journal of Electronic Imaging 21(3), 033001 (9 July 2012). https://doi.org/10.1117/1.JEI.21.3.033001

Published: 9 July 2012

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available