• DocumentCode
    693185
  • Title

    Adaptive linear fusion for image enhancement with hardware verification

  • Author

    Cheng-Hsiung Hsieh ; Yu-Sheng Lin ; Ching-Hua Liu ; Qiangfu Zhao

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Chaoyang Univ. of Technol., Taichung, Taiwan
  • Volume
    03
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    1142
  • Lastpage
    1146
  • Abstract
    In a previous paper in [I], we presented an approach to image enhancement where linear fusion scheme was employed. In the approach, only one input image is required and from the input image anther image is derived by histogram equalization. With the two images, a linear fusion is performed with a fixed weight. In this paper, a simple but effective mechanism is devised to determine an adaptive weight for the linear fusion. To justify the proposed approach, hardware verification is conducted and three scenarios are provided where low lux, high contrast, and normal cases are considered. Experimental results indicate that the proposed approach is feasible and promising in the real-world applications.
  • Keywords
    image enhancement; image fusion; adaptive linear fusion scheme; adaptive weight; fixed weight; hardware verification; high contrast; histogram equalization; image enhancement; low lux; Abstracts; Channel hot electron injection; Computational complexity; Hardware; Histograms; Imaging; Contrast enhancement; Histogram equalization; Image enhancement; Linear fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Conference_Location
    Tianjin
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890763
  • Filename
    6890763