A histogram equalization method based on frequency division of mean filtering

Authors:
Yu Chu;Ni-Ni Li;Jun-Qing Liu;Wei-Sheng Li
Affiliations:
China Three Gorges University, Yichang, Hubei province, P.R. China;China Three Gorges University, Yichang, Hubei province, P.R. China;China Three Gorges University, Yichang, Hubei province, P.R. China;China Three Gorges University, Yichang, Hubei province, P.R. China
Venue:
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Year:
2013

Citing 2
Cited 0

Contrast enhancement using brightness preserving bi-histogram equalization

IEEE Transactions on Consumer Electronics
Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation

IEEE Transactions on Consumer Electronics

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a histogram equalization method based on frequency division that uses mean-filter as a low pass filter. For low-frequency, some classical histogram equalization methods are applied to improve contrast. For high-frequency, a new method of selecting appropriate adjustment factor is presented to suppress noise. Experiments show that this method can not only enhance the contrast of images, but also effectively stretch the dynamic range of the image gray levels. Moreover, the image details are well retained. The noise amplification and over-enhancement are also avoided.