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基于向心自动波交叉皮质模型的非均匀光照图像增强

DOI: 10.3724/SP.J.1004.2011.00800, PP. 800-810

Keywords: 图像增强,非均匀光照,交叉皮质模型,向心自动波,映射函数

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Abstract:

?面向非均匀光照图像,提出了基于向心自动波交叉皮质模型(Centripetal-autowaveintersectingcorticalmodel,CA-ICM)的图像增强算法.为了解决原始交叉皮质模型(Intersectingcorticalmodel,ICM)固有自动波效应在图像增强应用中易导致边缘模糊的问题,首先,设计了基于形态学中值集的向心自动波(Centripetalautowave,CA)实现方式.提出了基于图像特征---键值(Key)的自适应S形状映射函数,以此作为CA-ICM模型的输入输出的映射关系.为了增强算法的鲁棒性,对未点火位置进行了标注和修复.最后提出了非线性变换的颜色恢复方法.同时对模型参数设计进行了细致讨论.仿真结果表明,该模型可以有效进行光照动态范围的调整,向心自动波约束产生了邻域内的侧抑制作用,输出图像对比度得到大幅提升,细节边缘清晰,颜色恢复充分自然,客观评价值高.

References

[1]  Nuri O, Ender C. A non-linear technique for the enhancement of extremely non-uniform lighting images. Journal of Aeronautics and Space Technologies, 2007, 3(2): 37-47
[2]  Jobson D J, Rahman Z, Woodell G A. Properties and performance of a center/surround retinex. IEEE Transactions on Image Processing, 1997, 6(3): 451-462
[3]  Morel J M, Petre A B, Sbert C. A PDE formalization of Retinex theory. IEEE Transactions on Image Processing, 2010, 19(11): 2825-2837
[4]  Arigela S, Asari V K. A locally tuned nonlinear technique for color image enhancement. WSEAS Transactions on Signal Processing, 2008, 4(8): 514-519
[5]  Wang Shou-Jue, Ding Xing-Hao, Liao Ying-Hao, Guo Dong-Hui. A novel bio-inspired algorithm for color image enhancement. Acta Electronica Sinca, 2008, 36(10): 1970-1973(王守觉, 丁兴号, 廖英豪, 郭东辉. 一种新的仿生彩色图像增强方法. 电子学报, 2008, 36(10): 1970-1973)
[6]  Zhang Y D, Wu L N, Wang S H, Wang G. Color image enhancement based on HVS and PCNN. Science China Information Sciences, 2010, 53(10): 1963-1976
[7]  Kinser J M, Nguyen C. Image object signatures from centripetal autowaves. Pattern Recognition Letters, 2000, 21(3): 221-225
[8]  Xu Zhi-Ping, Zhong Yi-Ping, Zhang Shi-Yong. Intersecting cortical model filter for impulse noise image. Journal of Computer-Aided Design and Computer Graphics, 2007, 19(6): 698-702(徐志平, 钟亦平, 张世永. 用于脉冲噪声图像的交叉视觉皮质模型滤波. 计算机辅助设计与图形学学报, 2007, 19(6): 698-702)
[9]  Wang Lei, Zhu Xuan, Zhang Shen-Hua. Three numerical schemes of curve evolving based on mean curvature motion. Computer Engineering and Application, 2008, 44(35): 194-196(王蕾, 祝轩, 张申华. 曲率驱动的曲线演化的三类数值方案. 计算机工程与应用, 2008, 44(35): 194-196)
[10]  Gong Wei, Si Ke, Ye Xiu-Qing, Gu Wei-Kang. Highly robust real-time image enhancement. Chinese Journal of Sensors and Actuators, 2007, 20(9): 2024-2028(龚薇, 斯科, 叶秀清, 顾伟康. 一种强鲁棒性的实时图像增强算法. 传感技术学报, 2007, 20(9): 2024-2028)
[11]  Meylan L, Susstrunk S. High dynamic range image rendering with a retinex-based adaptive filter. IEEE Transactions on Image Processing, 2006, 15(9): 2820-2830
[12]  Christinc H, Klaus-Martin I. High-Dynamic-Range (HDR) Vision. Berlin: Springer-Verlag, 2007. 164-165
[13]  Li C, Bi D Y. A luminance rendition method based on local visual adaption. In: Proceedings of the 3rd International Congress on Image and Signal Processing. Yantai, China: IEEE, 2010. 578-582
[14]  Jin Hui. An image enhancement algorithm for improving the quality of multimedia video services. ZTE Communications, 2007, 13(4): 43-45(金辉. 一种提高多媒体视频服务质量的图像质量增强算法. 中兴通讯技术, 2007, 13(4): 43-45)
[15]  Ma Yi-De, Liu Ying-Jie, Xia Chun-Shui, Guo Jian-Zheng. Image enhancement based on PCNN time matrix and rough sets indiscernibility relation [Online], available: http://www.paper.edu.cn/, February 9, 2009(马义德, 刘映杰, 夏春水, 郭建征. 基于PCNN赋时矩阵与粗集理论不可分辨关系的图像增强 [Online], available: http://www.paper.edu.cn/, February 9, 2009)
[16]  Liu Qing, Xu Lu-Ping, Ma Yi-De, Wang Yong. Image NMI feature extraction and retrieval method based on pulse coupled neural networks. Acta Automatica Sinica, 2010, 36(7): 931-938(刘勍, 许录平, 马义德, 王勇. 基于脉冲耦合神经网络的图像NMI特征提取及检索方法. 自动化学报, 2010, 36(7): 931-938)
[17]  Pizer S M, Amburn E P, Austin J D, Cromartie R, Geselowitz A, Greer T, Romeny B T H, Zimmerman J B. Adaptive histogram equalization and its variations. Computer Vision, Graphics, and Image Processing, 1987, 39(3): 355-368
[18]  Kimmel R, Elad M, Shaked D, Keshet R, Sobel I. A variational framework for retinex. International Journal of Computer Vision, 2003, 52(1): 7-23
[19]  Li T, Asari K V. An adaptive and integrated neighborhood-dependent approach for nonlinear enhancement of color images. Journal of Electronic Imaging, 2005, 14(4): 1-14
[20]  Ni Guo-Qiang, Xiao Man-Jun, Hu Hong-Qing, Chen Si-Ying, Huang Guang-Hua. New progress and prospect of realistic image rendition based on visual characteristics. Chinese Journal of Lasers, 2007, 34(4): 451-460(倪国强, 肖蔓君, 胡宏清, 陈思颖, 黄光华. 基于视觉特性的真实影像再现技术进展及展望. 中国激光, 2007, 34(4): 451-460)
[21]  Wang Z B, Ma Y D, Cheng F Y, Yang L Z. Review of pulse-coupled neural networks. Image and Vision Computing, 2010, 28(1): 5-13
[22]  Gao S, Li C, Bi D Y. Image enhancement algorithm based on NF-ICM. Chinese Optics Letters, 2010, 8(5): 474-477
[23]  Lindblad T, Kinser J M. Image Processing Using Pulse-Coupled Neural Networks (Second Edition). Berlin: Springer-Verlag, 2005. 12-14
[24]  Wang Da-Kai, Hou Yu-Qing, Peng Jin-Ye. PDE for Image Processing. Beijing: Science Press, 2008. 113-114(王大凯, 侯榆青, 彭进业. 图像处理的偏微分方程方法. 北京: 科学出版社, 2008. 113-114)
[25]  Yang Ke-Hu, Ji Jing, Guo Jian-Jun, Yu Wen-Sheng. High dynamic range images and tone mapping operator. Acta Automatica Sinica, 2009, 35(2): 113-122(杨克虎, 姬靖, 郭建军, 郁文生. 高动态范围图像和色阶映射算子.自动化学报, 2009, 35(2): 113-122)
[26]  Reinhard E, Stark M, Shirley P, Ferwerda J. Photographic tone reproduction for digital images. ACM Transactions on Graphics, 2002, 21(3): 267-276
[27]  Biswas K K, Pattanaik S N. A simple spatial tone mapping operator for high dynamic range images. In: Proceedings of the 13th Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications. Arizona, USA: Society for Imaging Science and Technology, 2005. 291-296
[28]  Zhang Jun-Ying, Lu Tao. Enhancement of image by PCNN. Computer Engineering and Application, 2003, 39(19): 93-95(张军英, 卢涛. 通过脉冲耦合神经网络来增强图像. 计算机工程与应用, 2003, 39(19): 93-95)
[29]  Choi D H, Jang I H, Kim M H, Kim N C. Color image enhancement based on single-scale retinex with a JND-based nonlinear filter. In: Proceedings of the IEEE International Symposium on Circuits and Systems. New Orleans, USA: IEEE, 2007. 3948-3951
[30]  Chi Jian-Nan, Zhang Chuang, Zhang Zhao-Hui, Wang Zhi-Liang. Image enhancement based on anti-symmetrical biorthogonal wavelet reconstruction. Acta Automatica Sinica, 2010, 36(4): 475-487(迟健男, 张闯, 张朝晖, 王志良. 基于反对称双正交小波重构的图像增强方法. 自动化学报, 2010, 36(4): 475-487)

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