Volume 7 Issue 1
Jan.  2014
Turn off MathJax
Article Contents
CAO Lei, CHEN Hong-bin, QIU Qi, ZHANG Jian-lin, REN Ge, XU Zhi-yong, ZHANG Bin. Research status of blind image restoration[J]. Chinese Optics, 2014, 7(1): 68-78. doi: 10.3788/CO.20140701.068
Citation: CAO Lei, CHEN Hong-bin, QIU Qi, ZHANG Jian-lin, REN Ge, XU Zhi-yong, ZHANG Bin. Research status of blind image restoration[J]. Chinese Optics, 2014, 7(1): 68-78. doi: 10.3788/CO.20140701.068

Research status of blind image restoration

  • Received Date: 21 Oct 2013
  • Rev Recd Date: 23 Dec 2013
  • Publish Date: 25 Jan 2014
  • Blind image restoration is an approach to estimate both the original image and the point spread function from degraded images, when there is no or little knowledge of the point spread function of the degraded process. In this paper, the main algorithms of blind image restoration are reviewed and classified into four types, according to their theory origins and relationships, and analysis is made for all the types of blind image restoration algorithms and relevant improved algorithms. This will be helpful to better understand the theory of blind image restoration and to restore degraded images.

     

  • loading
  • [1] HELSTROM C W. Image restoration by the method of least squares[J]. J. Opt. Soc. Am., 1967, 57(3):293-297. [2] 阎雪飞, 许廷发, 白廷柱. 改进的固定点图像复原算法[J]. 中国光学, 2013, 6(3):318-324. YAN X F, XU T F, BAI T ZH. Improved fixed point method for image restoration[J]. Chinese Optics, 2013, 6(3):318-324.(in Chinese) [3] 梁春, 沈建新, 钮赛赛. 基于半盲解卷积复原的高分辨率视网膜成像系统[J]. 光学 精密工程, 2012, 20(6):1374-1381. LIANG CH, SHEN J X, NIU S S. High resolution retinal imaging system based on semi-blind deconvolution restoration[J]. Opt. Precision Eng., 2012, 20(6):1374-1381.(in Chinese) [4] 赵金宇, 吴元昊, 贾建禄, 等. 基于实时波前信息的图像复原[J]. 光学 精密工程, 2012, 20(6):1350-1356. ZHAO J Y, WU Y H, JIA J L, et al.. Image restoration based on real time wave-front information[J]. Opt. Precision Eng., 2012, 20(6):1350-1356.(in Chinese) [5] 张威, 杨克成, 范泛, 等. 基于模糊度量的激光水下图像复原的盲去卷积方法[J]. 光学与光电技术, 2011, 9(2):27-32. ZHANG W, YANG K CH, FAN F, et al.. Blind deconvolution approach based on blur metric method for laser underwater image restoration[J]. Opt. Optoelectronic Technology, 2011, 9(2):27-32.(in Chinese) [6] 范泛, 杨克成, 夏珉, 等. 盲反卷积方法在水下激光图像复原中的应用[J]. 光学与光电技术, 2010, 8(3):13-17. FAN F, YANG K CH, XIA M, et al.. Underwater image restoration by means of blind deconvolution approach[J]. Opt. Optoelectronic Technology, 2010, 8(3):13-17.(in Chinese) [7] 王建立, 汪宗洋, 王斌, 等. 相位差异散斑法图像复原技术[J]. 光学 精密工程, 2011, 19(5):1165-1170. WANG J L, WANG Z Y, WANG B, et al.. Image restoration by phase-diverse speckle[J]. Opt. Precision Eng., 2011, 19(5):1165-1170.(in Chinese) [8] 李庆波, 许志高, 陈守谦, 等. 探测器噪声对波前编码成像系统图像复原过程影响的理论研究[J]. 光学与光电技术, 2011, 9(6):14-20. LI Q B, XU ZH G, CHEN SH Q, et al.. Detector noise in the wavefront coding imaging system recovery process[J]. Opt. Optoelectronic Technology, 2011, 9(6):14-20.(in Chinese) [9] CARASSO A S. Direct blind deconvolution[J]. Appl. Math, 2001, 61(6):1980-2007. [10] FIDDY M A. The Role of Analyticity in Image Recovery[M]. Orlando:Image Recovery:Theory and Application, 1987. [11] LANE R G, BATES R H T. Automatic multidimensional decouvolution[J]. Opt. Soc. Am., 1987, A.4(1):180-188. [12] 张航, 罗大庸. 图像盲复原算法研究现状及其展望[J]. 中国图象图形学报, 2004, 9(10):1145-1152. ZHANG H, LUO D Y. Status and development of study on blind image restoration algorithm[J]. Chinese J. Image and Graphics, 2004, 9(10):1145-1152.(in Chinese) [13] FELLER W. An Introduction to Probability Theory and Its Applications[M]. New York:Wiley Press, 1971. [14] 王辉, 吴钦章. 多区域参数估计实时图像盲复原[J]. 光电工程, 2012, 39(3):130-136. WANG H, WU Q ZH. Real-time blind image restoration method based on multi-region parameters estimate[J]. Opto-Electronic Eng., 2012, 39(3):130-136.(in Chinese) [15] 罗一涵, 付承毓. 基于中频的实时图像盲复原算法[J]. 四川大学学报, 2010, 42(6):109-118. LUO Y H, FU CH Y. Mid-frequency-based method for real-time blind image restoration[J]. J. Sichuan University(Engineering Science Edition), 2010, 42(6):109-118.(in Chinese) [16] AYERS G R, DAINTY J C. Iterative blind deconvolution method and its applications[J]. Opt. Lett., 1988, 13(7):547-549. [17] LANE R G. Blind deconvolution of speckle images[J]. Opt. Soc. Am., 1992, A9:1508-1514. [18] CHAN T F, WONG C. Total variation blind deconvolution[J]. IEEE, 1998, 7(3):370-375. [19] YOU Y L, KAVEH M. A regularization approach to joint blur identification and image restoration[J]. IEEE, 1996, 5(3):416-428. [20] 唐述, 龚卫国. 高阶混合正则化图像盲复原方法[J]. 光学 精密工程, 2013, 21(1):151-157. TANG S, GAO W G. High-order hybrid regularization method for blind restoration[J]. Opti. Precision Eng., 2013, 21(1):151-157.(in Chinese) [21] 唐挺, 陶青川, 何小海. 基于小波去噪和图像分割技术的改进NAS-RIF盲图像复原算法[J]. 成都信息工程学院学报, 2004, 19(3):372-376. TANG T, TAO Q CH, HE X H. An improved NAS-RIF algorithm based on wavelet denoising and image segmentation[J]. J. Chengdu University of Information Technology, 2013, 21(1):151-157.(in Chinese) [22] 穆晓芳, 赵月爱, 张朝霞, 等. 一种改进的NAS-RIF图像盲复原算法[J]. 太原师范学院学报, 2009, 8(1):71-75. MU X F, ZHAO Y A, ZHANG ZH X, et al. An improved NAS-RIF algorithm for blind image restoration[J]. J. Taiyuan Normal University, 2009, 8(1):71-75.(in Chinese) [23] NERI A, SCARANO G, JACOVITTI G. Bayesian iterative method for blind deconvolution[J]. SPIE, 1991, 1565:196-208. [24] FRIEDEN B R. Restoring with maximum likelihood and maximum entrop[J]. Opt. Soc. Am., 1972, 62:511-518. [25] 谢盛华, 张启衡, 宿丁. 基于先验信息和正则化技术的图像复原算法的研究[J]. 量子电子学报, 2007, 24(4):429-433. XIE SH H, ZHANG Q H, SU D. Study on image restoration method based on prior information and regularization technique[J]. Chinese J. Quantum Electronics, 2007, 24(4):429-433. (in Chinese) [26] HOLMES T J. Blind deconvolution of speckle images quantum-limited incoherent imagery:maximum-likehood approach[J]. Opt. Soc. Am. A, 1992, 9:1052-1061. [27] 温博, 张启衡, 张建林. 应用自解卷积和增量Wiener滤波实现迭代盲图像复原[J]. 光学 精密工程, 2011, 19(12):3049-3055. WEN B, ZHANG Q H, ZHANG J L. Realization of iterative blind image restoration by self deconvolution and increment Wiener filter[J]. Opt. Precision Eng., 2011, 19(12):3049-3055.(in Chinese)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(1719) PDF downloads(976) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return