- published
- 2012-11-06
- reference
- Pascal Getreuer, Automatic Color Enhancement (ACE) and its Fast Implementation, Image Processing On Line, 2 (2012), pp. 266–277. https://doi.org/10.5201/ipol.2012.g-ace
Communicated by Vicent Caselles
Demo edited by Pascal Gertreuer
Abstract
Automatic Color Enhancement "ACE" is an effective method for color image enhancement introduced by Gatta, Rizzi, and Marini based on modeling several low level mechanisms of the human visual system. The direct computation of ACE on an NxN image costs O(N4) operations. This article describes two fast approximations of ACE. First, the algorithm of Bertalmío, Caselles, Provenzi, and Rizzi uses a polynomial approximation of the slope function to decomposes the main computation into convolutions, reducing the cost to O(N2 log N). Second, an algorithm based on interpolating intensity levels also reduces the main computation to convolutions. The use of ACE for image enhancement and color correction is demonstrated.
Download
- full text manuscript: PDF low-res. (540K) PDF (12M) [?]
- source code: TAR/GZ
History
- 2013-07-11: correct versions of the source code and demo replace wrong versions previously used by error
- 2012-11-06: original version published: manuscript, source code
- Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.