• DocumentCode
    88207
  • Title

    Double Line Image Rotation

  • Author

    Ashtari, Amir Hossein ; Jan Nordin, M. ; Kahaki, Seyed Mostafa Mousavi

  • Author_Institution
    Center for Artificial Intell. Technol., Nat. Univ. of Malaysia, Bangi, Malaysia
  • Volume
    24
  • Issue
    11
  • fYear
    2015
  • fDate
    Nov. 2015
  • Firstpage
    3370
  • Lastpage
    3385
  • Abstract
    This paper proposes a fast algorithm for rotating images while preserving their quality. The new approach rotates images based on vertical or horizontal lines in the original image and their rotated equation in the target image. The proposed method is a one-pass method that determines a based-line equation in the target image and extracts all corresponding pixels on the base-line. Floating-point multiplications are performed to calculate the base-line in the target image, and other line coordinates are calculated using integer addition or subtraction and logical justifications from the base-line pixel coordinates in the target image. To avoid a heterogeneous distance between rotated pixels in the target image, each line rotates to two adjacent lines. The proposed method yields good performance in terms of speed and quality according to the results of an analysis of the computation speed and accuracy.
  • Keywords
    floating point arithmetic; image representation; base-line pixel coordinates; based-line equation; double line image rotation; floating-point multiplications; heterogeneous distance; horizontal lines; image representation; one-pass method; vertical lines; Accuracy; Computer vision; Image processing; Interpolation; Mathematical model; Shearing; Transforms; DLR; Double-line rotation; image representation; image rotation; image transform; line rotation;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2015.2440763
  • Filename
    7117407