Denoising Method of Interior Design Image based on Median Filtering Algorithm

被引:0
|
作者
Li, Tao [1 ]
机构
[1] Chongqing Ind Polytech Coll, Sch Design, Chongqing, Peoples R China
关键词
Median filtering algorithm; interior design; image denoising; image acquisition architecture; the rough set;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Interior design image generation process is prone to the interference of many factors, resulting in the interior design image denoising effect decreases, denoising time increases, so the interior design image denoising method based on median filtering algorithm is proposed. The architecture of interior design image collection is set up, including video signal conversion module, compression coding module, programmable logic chip module and power module. The interior design image collection is realized by using sensors to collect interior design related video information and converting video signals. Based on the results of image acquisition, the median filtering algorithm based on rough set theory is used to realize the denoising of interior design images. Experimental results show that the denoising effect of the proposed method is better, the average signal-to-noise ratio of interior design images is 54.6dB, and the denoising time is always lower than 0.3s, which can be widely used in practice.
引用
收藏
页码:1021 / 1029
页数:9
相关论文
共 50 条
  • [1] An image denoising algorithm based on clustering and median filtering
    Wang YuLing
    Ming, Li
    Li, Li
    [J]. SIXTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2014), 2015, 9443
  • [2] Image Denoising and Enhancement Algorithm Based on Median Filtering and Fractional Order Filtering
    Zhang, Xue-Feng
    Yan, Hui
    [J]. Dongbei Daxue Xuebao/Journal of Northeastern University, 2020, 41 (04): : 482 - 487
  • [3] Research on medical image denoising based on improved median filtering algorithm
    Wang Jinguo
    Wang Na
    Wang Rui
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS AND INDUSTRIAL INFORMATICS, 2015, 31 : 1024 - 1027
  • [4] A Novel Image Denoising Method Based on Adaptive Median Filter Algorithm
    Kai, Xie
    Fen, Zhang
    Ying, Zhou
    [J]. MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 2486 - 2490
  • [5] An Adaptive Median Filtering Denoising Algorithm for "Pepper & Salt" Noised Image
    Qin, Fengqing
    Jiang, Li
    Xie, Liman
    Cao, Lilan
    Zhu, Lihong
    Li, Chaorong
    Zhang, Yanhong
    Wen, Xingdong
    [J]. THIRTEENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2021), 2022, 12083
  • [6] Infrared Image Denoising Based on Peer Groups with Median Filtering and Wiener Filtering
    Li, Baoshu
    Cui, Kebin
    Xu, Xuetao
    Wei, Wenli
    [J]. FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY III, PTS 1-3, 2013, 401 : 1059 - +
  • [7] Image Denoising Algorithm Based on the Median Morphological Filter
    Zhu, Youlian
    Huang, Cheng
    Xu, Zhihuo
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 3985 - 3989
  • [8] Wavelet domain denoising method based on multistage median filtering
    WU Jin
    [J]. The Journal of China Universities of Posts and Telecommunications, 2013, (02) : 113 - 119
  • [9] Wavelet domain denoising method based on multistage median filtering
    School of Electronic Engineering, Xi'An University of Posts and Telecommunications, Xi'an 710121, China
    [J]. J. China Univ. Post Telecom., 2 (113-119):
  • [10] Wavelet domain denoising method based on multistage median filtering
    WU Jin
    [J]. TheJournalofChinaUniversitiesofPostsandTelecommunications., 2013, 20 (02) - 119