融合同态滤波和小波变换的图像去雾算法研究
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摘要
针对雾天时图像退化严重,对比度低的问题,提出了一种改进算法。从时频分析的角度出发,将同态滤波算法中的傅立叶变换用快速小波变换代替,然后在变换域内用改进的滤波器对小波系数进行处理,从而达到增强雾天降质图像的目的。实验结果表明,改进算法能够有效校正雾天图像光照,保持图像原有信息不丢失,增强图像的对比度,使处理后的图像更具有可视性。
Aiming at the problem of severe degradation of fog weather image and low contrast, an improved algorithm is proposed. From the point of view of time-frequency analysis, the Fourier transform in the homomorphic filtering algorithm is replaced by the fast wavelet transform, and then the wavelet coefficients are processed by the improved filter in the transform domain to achieve the enhanced fog image purpose. The experimental results show that the improved algorithm can effectively correct the fog image illumination, keep the original information of the image is not lost, enhance the contrast of the image, and make the processed image more visible.
Aiming at the problem of severe degradation of fog weather image and low contrast, an improved algorithm is proposed. From the point of view of time-frequency analysis, the Fourier transform in the homomorphic filtering algorithm is replaced by the fast wavelet transform, and then the wavelet coefficients are processed by the improved filter in the transform domain to achieve the enhanced fog image purpose. The experimental results show that the improved algorithm can effectively correct the fog image illumination, keep the original information of the image is not lost, enhance the contrast of the image, and make the processed image more visible.
引文
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[2] AEDLA R, DWARAKISH G S, REDDY D V. Satellite Image Contrast Enhancement Algorithm Based on Plateau Histogram Equalization[C]//2014 IEEE Region 10 Symposium. 2014:213.
[3] SMITHA M L, SHEKAR B H. Illumimation Invariant Text Recoginition System Based On Contrast Limit Adaptive Histogram Equalization in Viseos /Images [C]// Proceedings of the Third International Symposium on Women in Computing and Informatics.ACM, 2015:22(2):174.
[4] 杨玲,甄志明,刘国红.基于多尺度边缘提取的薄雾图像处理方法[J].哈尔滨理工大学学报,2014,19(5):94.
[5] 姜柏军,钟明霞 . 改进的直方图均衡化算法在图像增强中的应用 [J]. 激光与红外,2014,44(6):702.
[6] JEAN-PHILIPPE Tarel, NICOLAS Hautiere, LAUENT Caraffa,etal. Vision Enhanc-ement in Homogeneous and Heter-ogeneous Fog[J]. IEEE Intelligent Transportation Systems Magazine, 2012,4(2):6.
[7] 范有臣,李迎春,韩意,等. 提升小波的同态滤波在图像烟雾弱化中的应用[J].中国图象图形学报, 2012, 17(5):635.
[8] 周树道,王敏,黄峰,等.基于亮度小波变换和颜色改善的彩色图像去雾研究[J].哈尔滨理工大学学报,2011,16(4):59.
[9] 张雪峰,赵莉.基于改进Retinex的图像增强算法[J].南京理工大学学报 ,2016,40 (1):24.
[10] 侯天峰,程和生,张燕.基于Retinex的视频自适应增强算法[J].现代电子技术, 2015,38(17):68.
[11] 汪东芳,巨筱.基于改进Retinex的雾天图像增强研究[J].激光杂志,2016,37(4):58.
[12] 刘海波,杨杰,吴正平,等.基于暗通道先验和Retinex理论的快速单幅图像去雾方法[J].自动化学报,2015,41(7):1064.
[13] 李校林,王屈桥,燕历科.基于改进暗通道先验模型的遥感图像去雾算法[J].电视技术,2017.41(1):14.
[14] ZENG F, WU Q, DU J. Foggy Image Enhancement Based on Filter Varible Multi-Scale Retinex[J]. Applied Mech-anics & Materials,2014,505/506:1041.
[15] 陶泽明,裴玉龙,杜文刚.基于MATLAB的车辆图像滤波[J].哈尔滨理工大学学报,2008,13(1):18.
[16] MALLAT S. A Theory for Multiresolution Signal Decomposition:The Wavelet Repre-sentation [J].IEEE Transactions on Pattern Analysisand Machine Intelligence.1989:11(7):674.
[17] 何立晖,张健沛,王强.基于小波变换复合混沌系统的数字图像水印算法[J].哈尔滨理工大学学报,2010,15(3):15.
[18] 孙慧贤,罗飞路,张玉华. 基于小波变换和同态滤波的内窥图像增强算法[J]. 探测与控制学报,2008,30(5):69.
[19] 黄静静,陈文静,苏显渝,等.小波变换在调制度测量轮廓术中的应用[J]. 光学学报,2016,36(7):77.
[20] 金佩芬,秦富贞.基于改进Retinex算法的红外图像增强处理[J].激光杂志,2016,37(7):43.
[21] 穆为磊,高建民,王昭,等.考虑人眼视觉特性的射线检测数字图像质量评价方法[J]. 西安交通大学学报,2013(7): 91.