An effective directional interpolation- and inpainting-based algorithm for removing impulse noise

被引：2
作者：
Chung, Kuo-Liang [1 ]
Huang, Yong-Huai [2 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei 10672, Taiwan
[2] Jinwen Univ Sci & Technol, Dept Comp Sci & Informat Engn, New Taipei 23154, Taiwan
来源：
MULTIMEDIA TOOLS AND APPLICATIONS | 2018年 / 77卷 / 13期
关键词：
Highly corrupted images; Directional interpolation; Impulse noise removal; Inpainting; Objective and subjective quality comparison; MEDIAN FILTERS; IMAGE;
D O I：
10.1007/s11042-017-5216-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, an effective directional interpolation- and inpainting-based impulse noise removal algorithm is proposed. Firstly, each noisy pixel is classified to either the low-density noise or the middle/high density noise. Secondly, a directional interpolation-based noise removal procedure is proposed to denoise the low-density noise. Thirdly, an inpainting-based noise removal procedure is proposed to denoise the middle/high-density noise. Based on ten typical test images, each image with noise level ranging from 30 to 90%, the experimental results demonstrate that in terms of peak-signal-to-noise-ratio (PSNR), structural similarity index (SSIM), and visual effect, the proposed algorithm has the best quality performance when compared with six state-of-the-art noise removal algorithms.
引用
收藏
页码：16477 / 16493
页数：17
相关论文
共 21 条
  • [1] Aiswarya K, 2010, ICCMS 2010, V4, DOI [10.1109/ICCMS.2010.310, DOI 10.1109/ICCMS.2010.310]
  • [2] A novel algorithm for removal of salt and pepper noise using continued fractions interpolation
    Bai, Tian
    Tan, Jieqing
    Hu, Min
    Wang, Yan
    [J]. SIGNAL PROCESSING, 2014, 102 : 247 - 255
  • [3] Bertalmio M., 2001, PROC CVPR IEEE, V1, DOI [10.1109/cvpr.2001.990497, DOI 10.1109/CVPR.2001.990497]
  • [4] THE WEIGHTED MEDIAN FILTER
    BROWNRIGG, DRK
    [J]. COMMUNICATIONS OF THE ACM, 1984, 27 (08) : 807 - 818
  • [5] Multi-level adaptive switching filters for highly corrupted images
    Chou, Hsien-Hsin
    Hsu, Ling-Yuan
    Hu, Hwai-Tsu
    [J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2015, 30 : 363 - 375
  • [6] Cormen T. H., 2009, Introduction to Algorithms, V3rd
  • [7] Noise adaptive soft-switching median filter
    Eng, HL
    Ma, KK
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2001, 10 (02) : 242 - 251
  • [8] Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetric Trimmed Median Filter
    Esakkirajan, S.
    Veerakumar, T.
    Subramanyam, Adabala N.
    PremChand, C. H.
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2011, 18 (05) : 287 - 290
  • [9] Gonzalez R.C., 2002, DIGITAL IMAGE PROCES
  • [10] ADAPTIVE MEDIAN FILTERS - NEW ALGORITHMS AND RESULTS
    HWANG, H
    HADDAD, RA
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1995, 4 (04) : 499 - 502
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