摘要
在雾天,激光主动成像系统所得图像的质量明显下降。针对所得红外图像噪声大、对比度低的特点,提出一种结合暗通道先验(Dark Channel Prior,DCP)与双边滤波(Bilateral Filter,BF)的图像处理算法。采用暗通道先验对图像进行去雾,对去雾后的图像采用双边滤波方法做进一步去噪处理,从而达到提高对比度降低噪声的目的。对不同算法处理后图像的主客观评价表明,提出的算法处理后的图像有更好的视觉效果,标准差有一倍多的提高,信息熵和信息容量有20%左右的提高。
The image quality of laser active imaging system degraded dramatically in fog. The obtained infrared image had the features of low contrast and serious noise. Thus an image process method combining dark channel prior and bilateral filter was proposed. The dark channel prior was adopted to remove fog from the image. Then the image was denoised using the bilateral filter. So the contrast of the image was improved and the noise was reduced. Both subjective and objective evaluation of the processed image by different methods show that the proposed method could obtain better visual effect. The standard deviation is more than doubled. The information entropy and information capacity have about a twenty percent improvement. Thus, it＇ s an effective way to improve the quality of infrared image in fog.
出处
《红外与激光工程》
EI
CSCD
北大核心
2013年第9期2392-2396,共5页
Infrared and Laser Engineering
基金
哈尔滨工业大学科研创新基金(HIT.NSRIF.2009146)
山东省自然科学基金(ZR2010FQ017)
威海市科技计划项目(2011DXGJ09)
关键词
红外图像处理
暗通道先验
双边滤波
激光主动成像
雾天
infrared image processing
dark channel prior
bilateral filter
laser active imaging
foggy weather
