Title :
A novel image green enhancement method based on luminance and hue
Author :
Man Fan ; Ke Liu ; Jun Yu ; Lei Shen ; Yuan Yao ; Chenyu Wang
Author_Institution :
Shanghai Fudan Microelectron. Group Co. Ltd., Shanghai, China
Abstract :
This paper proposes an image green enhancement method based on luminance and hue. In the current algorithm, there are two main issues, i.e., the presence of over-saturation and color deviation, which can not satisfy people´s demands for stronger green enhancement. To solve these problems, the correct mathematical model about luminance on chrominance constraint relations is proposed and an appropriate product factor list is obtained. The MATLAB simulation images show that the proposed method effectively enhances the green color and at the same time avoid the problems of over-saturation and color deviation.
Keywords :
image colour analysis; image enhancement; chrominance constraint relation; color deviation; hue; image green enhancement; luminance; over-saturation; product factor list; Color; Equations; Hardware; Image color analysis; MATLAB; Mathematical model; Vectors; color deviation; green enhancement; hue; luminance; over-saturation;
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4799-5272-4
DOI :
10.1109/ICSPCC.2014.6986314