Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221006(2020)

An Improved Criminisi Image Inpainting Method Based on Information Entropy and Gradient Factor

Fengsui Wang1,2,3、*, Zhengnan Liu1,2,3, and Linjun Fu1,2,3
Author Affiliations
  • 1Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Wuhu, Anhui 241000, China
  • 2Anhui Key Laboratory of Electric Drive and Control, Wuhu, Anhui 241000, China
  • 3School of Electrical Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, China
  • show less
    References(20)

    [6] Bertalmio M, Sapiro G, Caselles V et al. Image inpainting[C]∥Proceedings of the 27th annual conference on Computer graphics and interactive techniques - SIGGRAPH '00. Not Known., 417-424(2000).

    [7] Shen J, Chan T F. Mathematical models for local nontexture inpaintings[J]. Siam Journal on Applied Mathematics, 62, 1019-1043(2002).

    [8] Chan T F, Shen J J. Image processing and analysis[M]. Philadelphia: Society for Industrial and Applied Mathematics(2005).

    [9] Chan T F, Shen J H. Nontexture inpainting by curvature-driven diffusions[J]. Journal of Visual Communication and Image Representation, 12, 436-449(2001).

    [10] He K, Zhang T, Liang R. Improved image inpainting algorithm based on total variation model[J]. Journal of Optoelectronics.Laser, 21, 1890-1893(2010).

    [11] Zhao Y W, Li X L. A rapid Image Inpainting algorithm based on TV model[J]. Microelectronics & Computer, 26, 253-256, 260(2009).

    [12] Zhao Y W, Li X L. A rapid image inpainting algorithm based on CDD model[J]. Computer Simulation, 25, 223-227(2008).

    [13] Lian X L, Xu Z Y, Feng L L et al. Novel image inpainting based on partial differential equation[J]. Computer Engineering, 35, 234-236(2009).

    [14] Criminisi A, Perez P, Toyama K. Region filling and object removal by exemplar-based image inpainting[J]. IEEE Transactions on Image Processing, 13, 1200-1212(2004).

    [15] Zhao L, Zhang W, Sun Z G et al. Brake pad image classification algorithm based on color segmentation and information entropy weighted feature matching[J]. Journal of Tsinghua University (Science and Technology), 58, 547-552(2018).

    [16] Tian X, Li T, Tian J W et al. Prediction method for image coding quality based on differential information entropy[J]. Entropy, 16, 990-1001(2014).

    [17] Liu X G, Chen X, Chen Z W et al. Research on SSDA matching algorithm based on image greyscale[J]. Aeronautical Computing Technique, 40, 54-57(2010).

    [19] Martínez-Noriega R, Roumy A, Blanchard G. Exemplar-, 1-6(2012).

    [20] Bugeau A, Bertalmío M, Caselles V et al. A comprehensive framework for image inpainting[J]. IEEE Transactions on Image Processing, 19, 2634-2645(2010).

    Tools

    Get Citation

    Copy Citation Text

    Fengsui Wang, Zhengnan Liu, Linjun Fu. An Improved Criminisi Image Inpainting Method Based on Information Entropy and Gradient Factor[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221006

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Feb. 11, 2020

    Accepted: Mar. 31, 2020

    Published Online: Oct. 24, 2020

    The Author Email: Fengsui Wang (fswang@ahpu.edu.cn)

    DOI:10.3788/LOP57.221006

    Topics