• DocumentCode
    1577158
  • Title

    Magnified image and memory using software pipeline

  • Author

    Pradiksha, R. ; Ramesh, P.S.

  • Author_Institution
    Comput. Sci. & Eng., Arunai Eng. Coll., Tiruvannamalai, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The quality of the image being captured in the current mobile devices is made acceptable using the combination of image processing algorithms. While processing these algorithms, it utilizes lots of memory space. In order to reduce the memory, we are moving to software pipeline, which operates at low cost and also maximizes the flexibility than the traditional hardware pipeline. In our approach, we are using line based buffer software pipeline, which operates at low cost and enhance the quality of the image. The implemented algorithm will work individually and the results alone will feed into the next process. This reduces the processing time significantly in each step. The quality of the image is enhanced using image enhancement algorithms and noise reduction algorithm. The implemented framework reduces memory consumption and also enhances the performance.
  • Keywords
    image enhancement; mobile computing; storage management; buffer software pipeline; hardware pipeline; image enhancement algorithm; image processing algorithm; image quality; implemented algorithm; magnified image; magnified memory; memory consumption; memory space; mobile device; noise reduction algorithm; Filtering; Image processing; Memory management; Noise; Optical buffering; Pipeline processing; Pipelines; Image enhancement; Image processing; Line buffer; Memory management; Software pipeline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6817-6
  • Type

    conf

  • DOI
    10.1109/ICIIECS.2015.7193022
  • Filename
    7193022