Digital media image colour enhancement processing method based on multi-scale Retinex

被引:0
|
作者
Li, Qiushi [1 ]
Dong, Boya [1 ]
Meng, Xin [1 ]
机构
[1] Department of Experimental Art, LuXun Academy of Fine Arts, Shenyang,110004, China
关键词
D O I
10.1504/IJCISTUDIES.2024.144045
中图分类号
O43 [光学]; T [工业技术];
学科分类号
070207 ; 08 ; 0803 ;
摘要
Aiming at the problems of poor enhancement effect and large colour error in digital media image colour enhancement, a method of digital media image colour enhancement based on multi-scale Retinex is proposed. First, build and HSI colour space model to analyse digital media image colour space. Then, wavelet threshold method is used to deal with colour space noise. Finally, multi-scale Retinex is introduced to optimise Retinex through Gaussian filtering and weighted fusion to achieve colour enhancement of digital media images. The experimental results show that the proposed method can effectively improve the colour enhancement effect of digital media images, and the error is less than 0.15%, and the time cost is 0.20 s. This method effectively improves the colour enhancement effect. Copyright © 2024 Inderscience Enterprises Ltd.
引用
收藏
页码:23 / 39
相关论文
共 50 条
  • [41] Adaptive Multi-Scale Image Enhancement for Digital Radiography
    Sinsuebphon, Nattawut
    Techavipoo, Udomchai
    Koonsanit, Kitti
    Prompalit, Sakunrat
    Thongvigitmanee, Saowapak
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 2190 - 2193
  • [42] MARN: Multi-Scale Attention Retinex Network for Low-Light Image Enhancement
    Zhang, Xin
    Wang, Xia
    IEEE ACCESS, 2021, 9 : 50939 - 50948
  • [43] Clothing Image Parsing Method Based on Multi-scale Fusion Enhancement
    Chen L.
    Yu E.
    Tongji Daxue Xuebao/Journal of Tongji University, 2022, 50 (10): : 1385 - 1391
  • [44] Studying Fidelity Issues in Image Enhancement by Means of Multi-Scale Retinex with Color Restoration
    He, Xiangqian
    Wang, Tichun
    Jia, Yuanyuan
    Wang, Ying
    Xie, Zhengxiang
    Xie, Dan-mei
    2016 3RD INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2016, : 536 - 540
  • [45] Multi-scale fusion framework via retinex and transmittance optimization for underwater image enhancement
    Li, Tie
    Zhou, Tianfei
    PLOS ONE, 2022, 17 (09):
  • [46] Underwater Image Enhancement Method Based on Multi-scale Cascade Network
    Mi Zetian
    Jin Jie
    Li Yuanyuan
    Ding Xueyan
    Liang Zheng
    Fu Xianping
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2022, 44 (10) : 3353 - 3362
  • [47] Learning Multi-scale Retinex with Residual Network for Low-Light Image Enhancement
    Ma, Long
    Lin, Jie
    Shang, Jingjie
    Zhong, Wei
    Fan, Xin
    Luo, Zhongxuan
    Liu, Risheng
    PATTERN RECOGNITION AND COMPUTER VISION, PT I, PRCV 2020, 2020, 12305 : 291 - 302
  • [48] Application of image enhancement method for digital images based on Retinex theory
    Li, Jia
    OPTIK, 2013, 124 (23): : 5986 - 5988
  • [49] Low-Illumination Image Enhancement Algorithm Based on Improved Multi-Scale Retinex and ABC Algorithm Optimization
    Sun, Ying
    Zhao, Zichen
    Jiang, Du
    Tong, Xiliang
    Tao, Bo
    Jiang, Guozhang
    Kong, Jianyi
    Yun, Juntong
    Liu, Ying
    Liu, Xin
    Zhao, Guojun
    Fang, Zifan
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2022, 10
  • [50] Low-light image joint enhancement optimization algorithm based on frame accumulation and multi-scale Retinex
    Wang, Fengjuan
    Zhang, Baoju
    Zhang, Cuiping
    Yan, Wenrui
    Zhao, Zhiyang
    Wang, Man
    AD HOC NETWORKS, 2021, 113