• DocumentCode
    128599
  • Title

    Exposure fusion via textural and color transform

  • Author

    Hailian Wang ; Xiaoguang Li ; Li Zhuo

  • Author_Institution
    Signal& Inf. Process. Lab., Beijing Univ. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    9-11 June 2014
  • Firstpage
    1183
  • Lastpage
    1188
  • Abstract
    Due to the low dynamic range of image capture devices, a single still image is usually insufficient to represent a high contrast scene. Exposure fusion can enhance the dynamic range of an image, so that it can display both the details in the bright and dark regions. A novel exposure fusion method is proposed in this paper. Both the textural and color transform are introduced in our algorithm to preserve the details and color information in the resulting image. Experimental results show that the proposed method outperforms the compared algorithms.
  • Keywords
    image colour analysis; image enhancement; image fusion; image texture; transforms; color transform; exposure fusion; image capture devices; image dynamic range enhancement; still image; textural transform; Dynamic range; Estimation; Heuristic algorithms; Image color analysis; Image segmentation; Indexes; Transforms; Exposure fusion; color transform; textural transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4316-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2014.6931345
  • Filename
    6931345