Efficient contrast enhancement through log-power histogram modification

Tirui Wu; Alexander Toet

doi:10.1117/12.2064971

7 October 2014 Efficient contrast enhancement through log-power histogram modification

Tirui Wu, Alexander Toet

Proceedings Volume 9249, Electro-Optical and Infrared Systems: Technology and Applications XI; 92490Q (2014) https://doi.org/10.1117/12.2064971
Event: SPIE Security + Defence, 2014, Amsterdam, Netherlands

Abstract

A simple power-logarithm histogram modification operator is proposed to enhance digital image contrast. First a logarithm operator reduces the effect of spikes and transforms the image histogram into a smoothed one that approximates a uniform histogram while retaining the relative size ordering of the original bins. Then a power operator transforms this smoothed histogram into one that approximates the original input histogram. Contrast enhancement is then achieved by using the cumulative distribution function of the resulting histogram in a standard lookup table based histogram equalization procedure. The method is computationally efficient, independent of image content, and (unlike most existing contrast enhancement algorithms) does not suffer from the occurrence of artifacts, over-enhancement and unnatural effects in the processed images. Experimental results on a wide range of different images show that the proposed method effectively enhances image contrast while preserving overall image brightness, and yields results that are comparable or even of higher quality than those provided by previous state-of-the-art methods.

Citation Download Citation

Tirui Wu and Alexander Toet "Efficient contrast enhancement through log-power histogram modification", Proc. SPIE 9249, Electro-Optical and Infrared Systems: Technology and Applications XI, 92490Q (7 October 2014); https://doi.org/10.1117/12.2064971

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