Application research of denoising and super pixel algorithm in image processing

被引:1
|
作者
Sun, Qian [1 ]
Xin, Li [1 ]
Gao, Hanxu [1 ]
Chang, Faliang [2 ]
Zhao, Zengshun [1 ,2 ,3 ]
机构
[1] Shandong Univ Sci & Technol, Coll Elect Commun & Phis, Qingdao 266590, Shandong, Peoples R China
[2] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China
[3] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
D O I
10.1088/1742-6596/1187/4/042015
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the popularization and development of science and technology, mobile phone, tablet and computer has become the necessities of people, whether work or life, the emergence of science and technology, development and rich brought a whole new world for human civilization, including electronic information in time and space communication provides convenient conditions for people, especially the image processing technology, in the life is very broad. At present, smart phones have become extremely common, and users have a huge demand for images. Every link is inseparable from the formation, acquisition, transmission and acceptance of images. However, in every link, images will be more or less polluted by noise, resulting in users' inability to obtain the desired image effect. However, if the noise is directly optimized or removed, the accuracy of the image will be affected. Therefore, the advanced noise removal technology plays a crucial role in the efficient use of the image. Image superpixel is to gather pixels with similar attributes into a region to represent the image instead of pixels, so as to reduce the order of magnitude of the image atomic structure and further reduce the complexity of the subsequent image processing algorithm, which provides the possibility for the real-time performance of the image processing algorithm.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Super-pixel image segmentation algorithm based on adaptive equalisation feature parameters
    Ding, Shifei
    Wang, Lijuan
    Cong, Lin
    IET IMAGE PROCESSING, 2020, 14 (17) : 4461 - 4467
  • [32] The Application of NDT Algorithm in Sonar Image Processing
    Tan Ke
    Xu Xiaonan
    Bian Hongyu
    2016 IEEE/OES CHINA OCEAN ACOUSTICS SYMPOSIUM (COA), 2016,
  • [33] Application of Intelligent Clustering Algorithm in Image Processing
    Rui, Lu
    2020 IEEE CONFERENCE ON TELECOMMUNICATIONS, OPTICS AND COMPUTER SCIENCE (TOCS), 2020, : 397 - 401
  • [34] An Improved Image Denoising Algorithm
    Shi, Liqiang
    2015 SEVENTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2015), 2015, : 109 - 113
  • [35] Research and Application of Image Segmentation Algorithm Based on the Shortest Path in Medical Tongue Processing
    Sheng, Yang Ben
    Ke, Wei Yu
    Ping, Li Jiang
    2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 1, PROCEEDINGS, 2009, : 239 - +
  • [36] Research on infrared image denoising algorithm based on the noise analysis of detector
    Liu, ST
    Zhou, XD
    Shen, TS
    Han, YL
    INFRARED COMPONENTS AND THEIR APPLICATIONS, 2005, 5640 : 440 - 447
  • [37] Research on Image Denoising Adaptive Algorithm for UAV Based on Visual Landing
    Qiu, Pengrui
    Gan, Shu
    Yuan, Xiping
    Lin, Yu
    2017 INTERNATIONAL CONFERENCE ON COMPUTER NETWORK, ELECTRONIC AND AUTOMATION (ICCNEA), 2017, : 408 - 411
  • [38] Research on medical image denoising based on improved median filtering algorithm
    Wang Jinguo
    Wang Na
    Wang Rui
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS AND INDUSTRIAL INFORMATICS, 2015, 31 : 1024 - 1027
  • [39] An Experimental Study on Application of Orthogonal Matching Pursuit Algorithm for Image Denoising
    Suchithra, M.
    Sukanya, P.
    Prabha, Pinchu
    Sikha, O. K.
    Sowmya, V
    Soman, K. P.
    2013 IEEE INTERNATIONAL MULTI CONFERENCE ON AUTOMATION, COMPUTING, COMMUNICATION, CONTROL AND COMPRESSED SENSING (IMAC4S), 2013, : 729 - 736
  • [40] Research of sub-pixel location algorithm based on image correlation
    Li Fuwen
    Xu Chao
    Jin Weiqi
    Wang Xia
    INFRARED MATERIALS, DEVICES, AND APPLICATIONS, 2007, 6835