视觉注意机制在图像增强中的应用研究*

曾明; 孟庆浩; 王湘晖; 邱亚男; 蒋萍; 李彦辉

光子学报, 2009, 38 (5): 1283, 网络出版: 2010-05-10

视觉注意机制在图像增强中的应用研究*

Image Enhancement Based on Visual Attention Mechanisms

论文大纲

曾明 ^1,*孟庆浩 ¹王湘晖 ²邱亚男 ¹蒋萍 ¹李彦辉 ¹

作者单位

¹ 天津大学电气与自动化工程学院,天津 300072

² 南开大学现代光学研究所光电信息技术科学教育部重点实验室,天津 300071

图像增强视觉注意机制信息量直方图直方图均衡 Image enhancement Visual attention mechanism Information histogram Histogram equalization

摘要

将视觉注意机制引入到直方图构造中,并在此基础上提出了一种新的基于灰度级信息量直方图的图像增强算法.该算法利用Itti视觉注意计算模型对图像的显著性进行分析,获得全局显著图；然后,将全局显著图划分为若干等大的子区域,求取各子区域的平均显著值,并做归一化处理,得到子区域的加权统计系数；再将各子区域的灰度级加权统计值相加,得到灰度级信息量直方图；最后,依据直方图均衡化的映射函数,调整灰度级的动态范围.实验结果表明,该算法明显优于经典的GHE算法和AHE算法,具有满意的视觉效果.

Abstract

A novel image enhancement algorithm based on gray-level information histogram was proposed.The image saliency analysis was performed using Itti′s visual attention model and a global salient graph was obtained.The global salient graph was divided into several sub-parts with the same size and then weighted statistical coefficients of sub-parts were achieved by normalizing the average salient values of those sub-parts.The information histogram was obtained by adding weighted statistical results of sub-parts.And the gray-level dynamic ranges were adjusted according to the mapping function of histogram equalization.The experimental results show that the proposed algorithm has better performance than the traditional GHE (Global Histogram Equalization) and AHE (Adaptive Histogram Equalization) methods.In addition,the visual effect of enhanced image was satisfied.

参考文献

[1] 王炳健,刘上乾,周慧鑫,等.基于平台直方图的红外图像自适应增强算法［J］.光子学报,2005,34(2):299-231.

WANG Bing-jian,LIU Shang-qian,ZHOU Hui-xin, et al.Self-adaptive contrast enhancement algorithm for infrared image based on plateau histogram［J］.Acta Photonica Sinica,2005,34(2):299-231.

[2] 江兴方,金龙,何隆华,等.基于Retinex 彩色图像增强及其闭合区域提取的研究［J］.光子学报,2007,36(3):565-567.

JIANG Xing-fang,JIN Long,HE Long-hua,et al.Research of the color remote sensing image fusing method based on retinex and edge extraction［J］.Acta Photonica Sinica,2007,36(3):565-567.

[3] 唐磊,赵春霞,王鸿南,等.一种自适应路面图像模糊增强算法［J］.光子学报,2007,36(10):1943-1948.

TANG Lei,ZHAO Chun-xia,WANG Hong-nan,et al.An adaptive fuzzy enhancement algorithm for road sureface images［J］.Acta Photonica Sinica,2007,36(10):1943-1948.

[4] . Adaptive image contrast enhancement using generalizations of histogram equalization[J]. IEEE Transactions on Image Processing, 2000, 9(5): 889-896.

[5] . An advanced contrast enhancement using partially overlapped sub-block histogram equalization[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2001, 11(4): 475-477.

[6] . Shape preserving local histogram modification[J]. IEEE Transactions on Image Processing, 1999, 8(2): 220-230.

[7] 张鹏,王润生.静态图像中的感兴趣区域检测技术［J］.中国图象图形学报,2005,10(2):142-148.

ZHANG Peng,WANG Run-sheng.A survey of detecting regions of interest in a static image［J］.Journal of Image and Graphics,2005,10(2):142-148.

[8] . Algorithms for defining visual region of interest comparison with eye fixations[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(9): 970-982.

[9] . A model of saliency-based visual attention for rapid scene analysis[J]. IEEE Transactions on pattern analysis and machine intelligence, 1998, 20(11): 1254-1259.

[10] . Computational modeling of visual attention[J]. Nature Reviews Neuroscience, 2001, 2(3): 194-230.

[11] 罗四维.视觉感知系统信息处理理论［M］.北京:电子工业出版社,2006.

LUO Si-wei.Information processing theory of visual perception［M］.Beijing:Publishing House of Electronics Industry,2006.

[12] . Just noticeable distortion model and its applications in video coding[J]. Signal Processing:Image Communication, 2005, 20(7): 662-680.

曾明, 孟庆浩, 王湘晖, 邱亚男, 蒋萍, 李彦辉. 视觉注意机制在图像增强中的应用研究*[J]. 光子学报, 2009, 38(5): 1283. ZENG Ming, MENG Qing-hao, WANG Xiang-hui, QIU Ya-nan, JIANG Ping, LI Yan-hui. Image Enhancement Based on Visual Attention Mechanisms[J]. ACTA PHOTONICA SINICA, 2009, 38(5): 1283.

视觉注意机制在图像增强中的应用研究*

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