基于曲波变换和Retinex人脸光照处理算法  

Illumination processing method based on Curvelet transform and Retinex

作　　者：宋书林[1] 张彦[1] 王宪[1] 毛琪波[1] 

机构地区：[1]江南大学轻工过程先进控制教育部重点实验室,江苏无锡214000

出　　处：《计算机工程与应用》2013年第3期171-173,177,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(No.60574051);江苏省产学研联合创新资金-前瞻性联合研究项目(No.BY2012067)

摘　　要：针对光照对人脸识别影响问题,提出了一种基于曲波变换和Retinex人脸光照处理的算法。该算法对光照变化人脸对数变化后的图片进行曲波变换(Curvelet);利用Kimmel变分模型作为平滑滤波算子对低频图像进行平滑滤波,对高频系数进行阈值去噪。通过曲波逆变换得到光照亮度成分图像;利用Retinex模型提取光照不变成分。通过Yale B与CMU PIE人脸库的实验结果表明:该算法能有效地消除光照变化对人脸识别的影响并提高人脸识别率。An illumination processing method based on Curvelet transform and Retinex model is proposed to the problem of the illumination impact on the face recognition. The method performs Curvelet transform in the logarithm domain of the illumination variation face images. The Kimmel variational method is used as smoothing filter operator to smooth the low-frequency image. The threshold denoising is used in the high-frequency coefficients. The illumination brightness composition can be obtained by inverse Curvelet transform. The Retinex model is used for illumination invariant extraction. Experimental results from Yale B and CMU PIE databases show that proposed method can effectively eliminate the effect of varying illumination on face recognition and improve the rate of face recognition.

关 键 词：曲波变换 Retinex模型 变分方法 光照不变量 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]