• DocumentCode
    3660672
  • Title

    An Improved HDR Technique by Classification Method

  • Author

    Deepali Agrawal;Shilky Shrivastava

  • Author_Institution
    Dept. of Comput. Sci. Eng., VITM Gwalior, Gwalior, India
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    498
  • Lastpage
    504
  • Abstract
    Now a day , HDR image is mostly used in applications of wide range such as next generation broadcast, digital cinema and digital photography, because of its high quality and its good expression ability. In our work we have improved an HDR (High Dimensional image) and changed it into multiple improved LOW DYNAMIC RANGE (LDR) IMAGES. We have further used multiple copies of the same image and classified differently as per new LOW DYANAMIC RANGE . Hence we obtain many new exponentially improved images. These images can be further improved by further LDR technique. Finally we combine all these images and obtain a final image . This final image will be better as compared to the original image . Hence we have a image which in itself will be improved version of the given image.
  • Keywords
    "Dynamic range","Rendering (computer graphics)","Image segmentation","Imaging","Image color analysis","Heuristic algorithms","Image coding"
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2015 Fifth International Conference on
  • Type

    conf

  • DOI
    10.1109/CSNT.2015.220
  • Filename
    7279968