Computer pseudo-color coding of gray image based on IHS space

被引:0
|
作者
Cao, MY [1 ]
Yu, DY [1 ]
机构
[1] Tianjin Univ, Tianjin 300072, Peoples R China
关键词
pseudo-color coding; IHS space; RGB system;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Pseudo-color coding of gray image is a typical processing in the fields of medicine, engineering and military. This paper proposed a new-approach of pseudo-color coding of a gray image based on a perceptual color space, IHS space. Firstly, color information is generated from a gray image by mapping each of the gray level to a point in IHS space. The mapping method applied to the components I, H, and S is realized by trial and error which gets the optimum composition of the components, and also matches the geometry of the component's intersection with the RGB cube. Then, the three signals for RGB which drive the physical display device are obtained through the transformation from the IHS space to RGB. This approach has advantages of allowing the user to specify color information easily, providing more pleasing results, and getting higher color sensitivity of gray levels.
引用
收藏
页码:846 / 849
页数:4
相关论文
共 50 条
  • [41] Infrared target tracking in multiple feature pseudo-color image with kernel density estimation
    Liu, Ruiming
    Lu, Yanhong
    INFRARED PHYSICS & TECHNOLOGY, 2012, 55 (06) : 505 - 512
  • [42] Gray Image Colorization in YCbCr Color Space
    Kumar, Smriti
    Swarnkar, Ayush
    2012 1ST INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGY TRENDS IN ELECTRONICS, COMMUNICATION AND NETWORKING (ET2ECN), 2012,
  • [43] Pseudo-color coding method of infrared images based on human vision system - art. no. 68351N
    Zhang, Xiao
    Bal, Tingzhu
    Li, Hailan
    INFRARED MATERIALS, DEVICES, AND APPLICATIONS, 2007, 6835 : N8351 - N8351
  • [44] Application of Pseudo-color Image Feature-Level Fusion in Nondestructive Testing of Wire Ropes
    Zhang, Juwei
    Lu, Shiliang
    Chen, Jinbao
    JOURNAL OF FAILURE ANALYSIS AND PREVENTION, 2020, 20 (05) : 1541 - 1553
  • [45] Application of Pseudo-color Image Feature-Level Fusion in Nondestructive Testing of Wire Ropes
    Juwei Zhang
    Shiliang Lu
    Jinbao Chen
    Journal of Failure Analysis and Prevention, 2020, 20 : 1541 - 1553
  • [46] Joint Sparse Representations and Coupled Dictionary Learning in Multisource Heterogeneous Image Pseudo-Color Fusion
    Bai, Long
    Yao, Shilong
    Gao, Kun
    Huang, Yanjun
    Tang, Ruijie
    Yan, Hong
    Meng, Max Q. -H.
    Ren, Hongliang
    IEEE SENSORS JOURNAL, 2023, 23 (24) : 30620 - 30632
  • [47] Pseudo-color cochleagram image feature and sequential feature selection for robust acoustic event recognition
    Sharan, Roneel V.
    Moir, Tom J.
    APPLIED ACOUSTICS, 2018, 140 : 198 - 204
  • [48] A lightweight network based on multi-feature pseudo-color mapping for arrhythmia recognition
    Ma, Yijun
    Li, Junyan
    Zhang, Jinbiao
    Wang, Jilin
    Sun, Guozhen
    Zhang, Yatao
    HEALTH INFORMATION SCIENCE AND SYSTEMS, 2024, 12 (01):
  • [49] Optimal Sub-band Selection Algorithm for Pseudo-color Image Synthesis in Microwave Photonic SAR
    Hai Y.
    Liu L.
    Li Z.
    Pu W.
    Wang X.
    Wu J.
    Li W.
    Li R.
    Huang Y.
    Yang J.
    Journal of Radars, 2024, 13 (02) : 485 - 499
  • [50] Remote sensing image fusion method based on discrete wavelet and multiscale morphological transform in the IHS color space
    Liu, Dan
    Yang, Fengbao
    Wei, Hong
    Hu, Peng
    JOURNAL OF APPLIED REMOTE SENSING, 2020, 14 (01):