Title
Bi-histogram equalization with a plateau limit for digital image enhancement
Abstract
Many histogram equalization based methods have been introduced for the use in consumer electronics in recent years. Yet, many of these methods are relatively complicated to be implemented, and mostly require a high computational time. Furthermore, some of the methods require several predefined parameters from the user, which make the optimal results cannot be obtained automatically. Therefore, this paper presents bi-histogram equalization with a plateau level (BHEPL) as one of the options for the system that requires a short processing time image enhancement. First, BHEPL divides the input histogram into two independent sub-histograms. This is done in order to maintain the mean brightness. Then, these sub-histograms are clipped based on the calculated plateau value. By doing this, excessive enhancement can be avoided. Experimental results show that this method only requires 34.20 ms, in average, to process images of size 3648 x 2736 pixels (i.e. 10 Mega pixels images). The proposed method also gives better enhancement results as compared with some multi-sections mean brightness preserving histogram equalization methods.
Year
DOI
Venue
2009
10.1109/TCE.2009.5373771
IEEE Trans. Consumer Electronics
Keywords
Field
DocType
tv,data mining,histogram equalization,digital images,histograms,pixel,probability density function,digital image,brightness,degradation
Histogram,Computer vision,Equalization (audio),Computer science,Histogram matching,Electronic engineering,Digital image,Adaptive histogram equalization,Artificial intelligence,Pixel,Histogram equalization,Brightness
Journal
Volume
Issue
ISSN
55
4
0098-3063
Citations 
PageRank 
References 
53
2.06
18
Authors
3
Name
Order
Citations
PageRank
Chen Hee Ooi11164.17
Nicholas Sia Pik Kong2572.53
Haidi Ibrahim31158.83