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为提高图像的视觉质量,需要对图像进行对比度增强处理.从研究图像增强的空域法人手,分析了Retinex理论的相关方法.考虑到基于Retinex理论现有算法的不足,提出了基于亮度分量的处理方法,并用IIR实现高斯函数的运算.仿真结果表明,改进后的方法在完成图像增强的同时,能避免灰度化,保持色彩恒常,并加快处理速度.

Contrast enhancement process is needed in the images in order to improve its visual quality. Starting from the point of spatial methods of image enhancement, Retinex-related methods are analyzed. Considering the defects of the Retinex algorithm, processing method based on luminance and Guassian function using IIR implementation are proposed in this paper. The simulation results prove that these measures can not only enhance the images, and can prevent grayish, keep color constancy and accelerate the processing speed.

参考文献

[1] 刘家朋,赵宇明,胡福乔.基于单尺度Retinex算法的非线性图像增强方法[J].上海交通大学学报,2007,41(5):685-688.
[2] 李学明.基于Retinex理论的图像增强算法[J].计算机应用研究,2005,(2):235-237.
[3] 宋凯,沈红,刘昶.多尺度Retinex灰度图像增强算法[J].辽宁大学学报(自然科学版),2008,35(1):46-48.
[4] Liu Yuehu,Su Yangqi,Zhu Yunfeng,et al.A multi-scale retinex algorithm for image enhancement[J].IEEE Transactions on Image Processing,International Conference on Vehicular Electronics and Safety Proceedings,Xi'an,China:IEEE,2005:131-133.
[5] Lamberti Fabrizio.CMBFHE-a novel contrast enhancement technique based on cascaded multi-step binomial filtering histogram equalization[J].IEEE Transactions on Consumer Electronics,2006,52(3):966-974.
[6] Li Ying,Hou Changzhi,Tian Fu,et al.Enhancement of infrared image based on the Retinex theory[C]//Proceedings of the 29th Annual International Conference of the IEEE EMBS Cité Internationale,Lyon,France:IEEE,2007:3315-3318.
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