Image definition evaluation algorithm based on color relativity

Guo Huinan; Cao Jianzhong; Zhou Zuofeng; Tang Linao; Wang Hua; Ma Nan

Definition evaluation function of digital image plays an important role in digital camera auto-focus. Due to the existing definition evaluation functions are of some marked disadvantages, a spatial domain evaluation algorithm for digital color image was proposed. The colorful property of each pixel was judged and definition chromatic difference parameters was created by using chromatic difference between their tri-stimulus values. Besides,nonlinear function was used to improve the gradient coefficient of each pixel which made the evaluation function be more sensitive to some images in extreme cases. Experimental results show the superiority of our algorithm over the most of existing evaluation algorithms in dealing with natural images. And our method also is of a good ability of robustness as well as reducing calculation complexity and it can be easily achieved on hardware.

1. Xi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,China;

2. People's Liberation Army of No.95879,Chengdu 610081,China

Received Date: 2013-03-08

Rev Recd Date: 2013-04-17

Publish Date: 2013-11-25

Key words:

Abstract: Definition evaluation function of digital image plays an important role in digital camera auto-focus. Due to the existing definition evaluation functions are of some marked disadvantages, a spatial domain evaluation algorithm for digital color image was proposed. The colorful property of each pixel was judged and definition chromatic difference parameters was created by using chromatic difference between their tri-stimulus values. Besides,nonlinear function was used to improve the gradient coefficient of each pixel which made the evaluation function be more sensitive to some images in extreme cases. Experimental results show the superiority of our algorithm over the most of existing evaluation algorithms in dealing with natural images. And our method also is of a good ability of robustness as well as reducing calculation complexity and it can be easily achieved on hardware.

HTML

Reference (15)

[1]
[2]	Xu Guili, Liu Xiaoxia, Tian Yupeng, et al. Image clarity-evaluation-function method[J]. Infrared and Laser Engineering, 2009, 38(1): 180-184. (in Chinese)徐贵力, 刘小霞, 田玉鹏, 等. 一种图像清晰度评价方法[J]. 红外与激光工程, 2009, 8(1): 180-184.
[3]	Wang Jianhua, Deng Huaqiu, Chen Canning. Research on search algorithm for digital auto-focus[J]. Transducer and Microsystem Technologies, 2012, 31(5): 51-54. (in Chinese)王剑华, 邓华秋, 陈参宁. 数字自动对焦中的搜索算法研究[J]. 传感器与微系统, 2012, 31(5): 51-54.
[4]
[5]	Feng Jingwu, Yu Qingcang, Lv Ning, et al. Definition evaluation function of digital image in auto-focusing system[J]. Journal of Mechanical Electrical Engineering, 2011, 28(3): 354-356. (in Chinese)冯精武, 喻擎苍, 吕宁, 等. 调焦系统中数字图像清晰度评价函数的研究[J]. 机电工程, 2011, 28(3): 354-356.
[6]
[7]
[8]	Wang Jian, Chen Hongbin, Zhou Guozhong, et al. An Advanced Brenner Definition Evaluation Function[J]. Actc Photonica Sinica, 2012, 41(7): 855-858. (in Chinese)王健, 陈洪斌, 周国中, 等. 改进的Brenner图像清晰度评价算法[J]. 光子学报, 2012, 41(7): 855-858.
[9]	Chen Liang, Li Weijun, Chen Chen, et al. Efficiency contrast of digital image definition functions for general evaluation[J]. Computer Engineering and Applications, 2013, 49(1): 152-155..陈亮, 李卫军, 谌琛, 等. 数字图像清晰度评价函数的通用评价能力研究[J]. 计算机工程与应用, 2013, 49(1): 152-155..
[10]
[11]	Wang Hongnan, Zhong Wen, Wang Jing, et al. Research of Measurement for Digital Image Definition[J]. Journal of Image and Graphics, 2004, 9(7): 828-831. (in Chinese)王鸿男, 钟文, 王静, 等. 图像清晰度评价方法研究[J]. 中国图像图形学报, 2004, 9(7): 828-831.
[12]
[13]
[14]	Li Qi, Feng Huajun, Xu Zhihai, et al. Digital Image Sharpness Evaluation Function[J]. Actc Photonica Sinica, 2002, 31(6): 736-738. (in Chinese)李奇, 冯华君, 徐之海, 等. 数字图象清晰度评价函数研究[J]. 光子学报, 2002, 31(6): 736-738.
[15]	Gijsenij Arjan. Color constancy for multiple light sources[J]. IEEE Transaction on Image Processing, 2012, 21(2): 697-707.

Image definition evaluation algorithm based on color relativity

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Related

Proportional views