title: [A fast iterative algorithm for adaptive histogram equalization].
abstract: In this paper, we propose an iterative algorthm called FAHE., which is based on the relativity between the current local histogram and the one before the sliding window moving. Comparing with the basic AHE, the computing time of FAHE is decreased from 5 hours to 4 minutes on a 486dx/33 compatible computer, when using a 65 x 65 sliding window for a 512 x 512 with 8 bits gray-level range.
authors.affiliation: Xi'an Jiaotong University.
authors.forename: X
authors.initials: X
authors.lastname: Cao
authors.forename: X
authors.initials: X
authors.lastname: Liu
authors.forename: Z
authors.initials: Z
authors.lastname: Deng
authors.forename: D
authors.initials: D
authors.lastname: Jiang
authors.forename: C
authors.initials: C
authors.lastname: Zheng
mesh_terms: D000465:Algorithms; D007089:Image Enhancement