自动化学报2017，Vol.43Issue(5)：843-854,12.DOI:10.16383/j.aas.2017.c160077
基于最大加权投影求解的彩色图像灰度化对比度保留算法
Maximum Weighted Pro jection Solver for Contrast Preserving Decolorization
摘要
Abstract
This paper presents a color-to-gray conversion model for faithfully preserving the contrast details of the original color image. First, on the basic assumption that a good gray conversion should make the conveyed gradient values to be maximal, we present a maximum weighted projection function to model the decolorization procedure, incorporating weights of the original gradients into the maximization problem. The Gaussian weighted factor consisting of the gradients of indivisual channels of the input color image is employed to better reflect the degree of preserving feature discriminability and color ordering. Second, a discrete searching solver is proposed by determining the solution with the loss function value from the linear parametric model-induced candidate images. The non-iterative solver has advantages in simplicity and speed with only several simple arithmetic operations, leading to real-time computational speed. Finally, extensive experimental evaluations on the existing datasets show that the proposed method outperforms the state-of-the-art methods quantitatively and qualitatively.关键词
彩色图像灰度化/最大加权投影/对比度保留/线性参数模型/离散搜索Key words
Color-to-gray conversion/maximum weighted projection/contrast preserving/linear parametric model/discrete searching引用本文复制引用
卢红阳,刘且根,熊娇娇,王玉皞,邓晓华..基于最大加权投影求解的彩色图像灰度化对比度保留算法[J].自动化学报,2017,43(5):843-854,12.基金项目
国家自然科学基金(61362001) 资助 Supported by National Natural Science Foundation of China(61362001) （61362001）
