Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation
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 extend. However, there are still cases that are not handled well by BBHE, as they require higher degree of preservation. This paper proposes a generalization of BBHE referred to as recursive mean-separate histogram equalization (RMSHE) to provide not only better but also scalable brightness preservation. BBHE…
Citation impact
- FWCI
- 4.04
- Percentile
- 100%
- References
- 5
Authors
2- SCSoong-Der ChenCorresponding
Universiti Putra Malaysia
- ARA. R. Ramli
Universiti Putra Malaysia
Topics & keywords
- Histogram equalization
- Brightness
- Histogram
- Adaptive histogram equalization
- Histogram matching
- Equalization (audio)
- Computer science
- Artificial intelligence