Novel Survey on the Color-Image Graying Algorithm
Xiaoqiang Zhang, Xuesong Wang · 2016
Color-image graying operation is an important step for an image processing system. The gray image is the basis of subsequent image processing operations. This paper surveys the novel research achievements of the color-image graying algorithm, and discusses their two main classes, i.e., the weighting algorithm and the extreme algorithm. For the first class, we study three color-image graying algorithms, i.e., the Human Visual System (HVS) algorithm, the single component algorithm and the average algorithm. For the second class, we study two color-image graying algorithms, i.e., the maximum/minimum algorithm and the maximum/minimum-average algorithm. Finally, the algorithm comparison is made in terms of efficiency and fidelity. The experimental result and analyses show that the single component algorithm is the most efficient, and the HVS algorithm has the best visual effect.