title: Color constancy enhancement under poor illumination.
abstract: In this Letter, the color constancy and its realization were studied and a novel color constancy image enhancement algorithm under poor illumination was presented. The purpose of this algorithm is to maintain the hue of an image during the processing so that the change of saturation can be minimized. The original image was first multiplied by a scale parameter obtained by the adaptive quadratic function to enhance the luminance, and then the edge details were restored by a shifting parameter. Numerical results of the Simon Fraser University (SFU) image database indicated that the proposed algorithm performed much better in preserving the hue and saturation and avoiding color distortion compared with the existing image enhancement algorithms.
authors.affiliation: School of Remote Sensing of Information and Engineering, Wuhan University, Wuhan, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Liu
authors.forename: Zhenfeng
authors.initials: Z
authors.lastname: Shao
authors.forename: Qimin
authors.initials: Q
authors.lastname: Cheng
mesh_terms: D000465:Algorithms; D003116:Color; D003124:Colorimetry / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008027:Light; D008029:Lighting; D015233:Models, Statistical; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012984:Software