Defocus blur parameter estimation method based on blur spectrum characteristic of image edge
LIANG Min1,2,ZHU Hong1
1. Faculty of Automation and Information Engineering, Xi'an University of Technology, Xi'an Shaanxi 710048, China
2. School of Information Management, Shanxi University of Finance and Economics, Taiyuan Shanxi 030031, China
The accurate estimation of the Point Spread Function (PSF) is the key point in image restoration. For the unknown PSF parameter of defocus blur, an estimation method was proposed based on blur spectrum characteristic of image edge. Specifically, the blur spectrum feature of basic edge was analyzed, and then the edge model of natural image was treated as reference image. Furthermore, the max spectrum similarity was analyzed to obtain the right parameter between the image to be restored and the blurred reference image with defocus parameter in a continuous range. The experimental results show that the proposed algorithm suits large scale defocus blur images and has strong anti-noise ability.
LEE J, FATHI A S, SONG S. Defocus blur estimation using a cellular neural network [C]// CNNA 2010: Proceedings of the IEEE 12th International Workshop on Cellular Nanoscale Networks and Their Application. Piscataway: IEEE, 2010: 1-4.
[2]
EDMUND Y L. Digital restoration of defocus images in wavelet domain [J]. Applied Optics, 2002, 41(23): 4806-4811.
[3]
LI N, LU X. Hybrid model and parameter estimation combining defocus and motion blur [J]. Chinese Journal of Scientific Instrument, 2011,32(11):2523-2529.(李楠,路小波.散焦和运动模糊复合模型及参数估计[J].仪器仪表学报,2011,32(11):2523-2529.)
[4]
ZHAO L, JIN W, CHEN Y, et al.Blind restoration for defocus blurred image based on autocorrelation of derivative image [J]. Acta Optica Sinica, 2008,28(9):1703-1709.(赵琳,金伟其,陈翼男,等.基于微分图像自相关的离焦模糊图像盲复原[J]. 光学学报,2008,28(9):1703-1709.)
[5]
ZHAO L, JIN W, HUANG Y, et al.Analysis on super-resolution blind restoration algorithm of defocus blurred image [J]. Optical Technique, 2010,36(1):75-78.(赵琳,金伟其,黄有为,等.离焦模糊图像超分辨力盲复原算法分析[J].光学技术,2010,36(1):75-78.)
[6]
WANG W, FANG W. Blind separation of single-channel permuted defocus blurred image [J]. Journal of Image and Graphics, 2012,17(1): 62-67.(王伟,方勇.单通道散焦模糊置换图像的盲分离[J].中国图象图形学报,2012,17(1):62-67.)
[7]
ZHENG C, LI R, CHANG H. Restoration of defocus blurred digital image using Wiener filter in frequency domain [J]. Laser Journal, 2004,25(5):57-58.(郑楚君,李榕,常鸿森.离焦模糊数字图像的Wiener滤波频域复原[J].激光杂志,2004,25(5):57-58.)
[8]
LIU K, YANG J, QUAN J, et al.Blur identification and restoration of images with out-of-focus blur [J]. Acta Automatica Sinica, 1994,20(1):58-65.(刘克,杨静宇,权军,等.离焦图象模糊辨识及复原方法研究[J].自动化学报,1994,20(1):58-65.)
[9]
WU Z, DU S, YAO H. Restoration and identification of defocus blurred image based on in-focus degree [J]. Infrared and Laser Engineering, 2011,40(4):772-776.(吴振宇,杜少军,姚洪利.采用聚焦度量的散焦模糊图像参数鉴别及复原[J].红外与激光工程,2011,40(4):772-776.)
[10]
ZOU M. Deconvolution and signal recovery [M]. Beijing: National Defense Industry Press,2001.(邹谋炎.反卷积和信号复原[M].北京:国防工业出版社,2001.)
[11]
ZHOU Q, YAN G, WANG W. Cepstrum based analysis for blur image combining defocus and motion blur[J]. Optical Technique, 2007,33(6):910-914,917.(周曲,颜国正,王文兴.倒谱在混合模糊图像分析中的应用[J].光学技术,2007,33(6):910-914,917.)
[12]
ZHOU Q, YAN G, WANG W. Cepstrum analysis based parameter estimation for defocus blur image [J]. Geomatics and Information Science of Wuhan University, 2008,33(3):318-321.(周曲,颜国正,王文兴.基于倒谱分析的散焦模糊图像参数识别[J].武汉大学学报:信息科学版,2008,33(3):318-321.)
[13]
ZHOU Q, YAN G, WANG W. Application of correlation analysis to parameter recognition for blur image [J]. Optics and Precision Engineering, 2007,15(6):988-995.(周曲,颜国正,王文兴.相关系数分析在模糊图像参数识别中的应用[J].光学精密工程,2007,15(6):988-995.)
[14]
ZHU H, OUYANG G, LIANG M, et al.Blur parameter identification method based on spectrum correlation with reference image [J]. Chinese Journal of Scientific Instrument, 2012,33(8):1837-1843.(朱虹,欧阳光振,梁敏,等.一种基于参考图频谱相关的模糊参数判别方法[J].仪器仪表学报,2012,33(8):1837-1843.)
[15]
TAN Y. Research on natural images' processing theory and method [D]. Changsha: National University of Defense Technology, 2004.(谭郁松.自然图像处理理论和方法研究[D].长沙:国防科学技术大学,2004.)