High quality infrared video image restoration algorithm based on the improved ridgelet transform
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摘要: 为了实现红外视频降质图像高质量复原,采用一种基于改进脊波变换的图像复原算法来进行处理。该算法首先对降质图像进行改进脊波变换,然后提出一种具有加权改进自适应伪中值滤波算法对脊波系数进行处理,最后针对滤波后图像中时常出现的"环绕"现象,引入自适应Wiener滤波算法来抑制。进行了理论分析和实验验证,取得了相关模拟降质图像、真实降质图像以及峰值信噪比的测试数据。结果表明,该算法性能优于伪中值滤波以及两类脊波变换去噪算法。这对于实现红外视频降质图像复原研究是有帮助的。Abstract: In order to reconstruct high quality infrared video images from the degraded images, an image restoration algorithm was adopted based on the improved ridge wavelet transform. Firstly, the ridge wavelet transform was carried out for the degraded images. Then, one weighted improved adaptive pseudo median filtering algorithm was used to process the ridge wave coefficients. Finally, adaptive Wiener filtering algorithm was introduced to suppress for "wrap around" effect of images after filtering. After theoretical analysis and experimental verification, the relevant simulated degraded images, the real degraded images and the peak signal to noise ratio were obtained. The results show that the algorithm in this paper is superior to the algorithms, such as the pseudo median filtering and two types of ridge wavelet transform denoising algorithms. The study is helpful for the research of infrared video degraded image restoration.
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[1] LI Zh, XIE J B, CHEN Zh Y, et al. An algorithm of fatigue detection by infrared images based on Adaboost[J].Computer Engineering & Science,2012,34(5):107-111(in Chinese).
[2] LIANG Y H. Human detection method in infrared video images[J].Infrared and Laser Engineering,2009,38(5):931-935(in Chinese).
[3] LU Zh L, LI R L, LI T, et al. Infrared image denoising based on total variation therory[J].Laser Technology,2012,36(2):194-197(in Chinese).
[4] CHANG L L, WANG G L, GAO F Q, et al. Implementation of HIS transform and lifting wavelet transform based on FPGA[J].TV Engineering,2013,36(17):67-70(in Chinese).
[5] DONOHO D L.Orthjonormal ridgelet and linear singularities[J].SIAM Journal on Mathematical Analysis,2000,31(5):1062-1099.
[6] ZHAO Z Y, ZHENG Y G. Research of image fusion of multispectral and panchromatic images based on ridgelet transform[J].Computer Engineering and Applications,2012,48(15):164-167(in Chinese).
[7] LI G Q, HUANG Y D, JIANG X.Adaptive image denoising method based on wavelet transform and ridgelet transform[J].Application Research of Computers,2012,29(8):3192-3194(in Chinese).
[8] CAI Zh, TAO Sh H. Image-denoising method combining wavelet with ridgelet transforms[J].Computer Engineering and Application,2012,48(9):201-204(in Chinese).
[9] KINGSBURY N G. The dual-tree complex wavelet transform:a new efficient tool for image restoration and enhancement[C]//Proceedings of the 9th Europen Signal Processing Conference.New York,USA:IEEE,1998:319-322.
[10] ROMBERG J, CHOI H, BARANIUK R, et al. Multiscale classification using complex wavelets and hidden Markov tree model[C]//Proceedings of International Conference and Image Processing.New York,USA:IEEE,2000:371-374.
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