How fast can one arbitrarily and precisely scale images?

نویسندگان

  • Leonid Bilevich
  • Leonid P. Yaroslavsky
چکیده

Image scaling is a frequent operation in video processing for optical metrology. In the paper, results of comparative study of computational complexity of different algorithms for scaling digital images with arbitrary scaling factors are presented and discussed. The following algorithms were compared: different types of spatial domain processing algorithms (linear, cubic, cubic spline interpolation) and a new DCT-based algorithm, which implements perfect (interpolation error free) scaling through discrete sinc-interpolation and is virtually free of boundary effects (characteristic for the DFT-based scaling algorithms). The comparison results enable evaluation of the feasibility of realtime implementation of the algorithms for arbitrary image scaling.

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تاریخ انتشار 2013