• DocumentCode
    56232
  • Title

    Illumination Normalization Among Multiple Remote-Sensing Images

  • Author

    Guoji Zhang ; Qiang Chen ; Quansen Sun

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • Volume
    11
  • Issue
    9
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    1470
  • Lastpage
    1474
  • Abstract
    Changes of illumination have a huge effect on image quality during imaging process. One method that compares high and low resolution images to compute MTF in image quality assessment requires images to be in the same illumination conditions. Thus, it is necessary to do illumination normalization. This letter presents a novel method by combining gradient domain method and improved singular value equalization, which can achieve a good result of illumination normalization. The gradient domain method can bring the contrasts of multiple images to the same level while the improved singular value equalization can make their intensity means close to each other. We also suggest a parameter named p to assess the illumination consistency quantitatively. Experimental results demonstrate that the proposed method has a good performance in visualization and quantitative assessment.
  • Keywords
    geophysical image processing; gradient methods; image enhancement; image resolution; optical information processing; optical transfer function; remote sensing; singular value decomposition; MTF; gradient domain method; illumination normalization; image contrast enhancement; image quality assessment; imaging process; multiple remote sensing images; quantitative illumination consistency assessment; singular value equalization; visualization; Brightness; Discrete wavelet transforms; Dynamic range; Histograms; Image resolution; Lighting; Remote sensing; Gradient domain method; illumination normalization; image contrast enhancement; quantitative assessment; singular value equalization;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2295794
  • Filename
    6709756