articleIEEE Transactions on Consumer ElectronicsNov 1, 2003Closed access

Minimum mean brightness error bi-histogram equalization in contrast enhancement

SCSoong-Der ChenARAbd Rahman Ramli

Universiti Putra Malaysia

Indexed incrossref

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…

Citation impact

979
total citations
FWCI
6.47
Percentile
100%
References
4
Citations per year

Authors

2

Topics & keywords

Keywords
  • Brightness
  • Histogram equalization
  • Histogram
  • Histogram matching
  • Adaptive histogram equalization
  • Equalization (audio)
  • Computer science
  • Artificial intelligence
No related works found for this paper.