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The error-amended sharp edge (EASE) scheme for image zooming.

Youngjoon Cha1, Seongjai Kim

  • 1Department of Applied Mathematics, Sejong University, Seoul 143-747, Korea. yjcha@sejong.ac.kr

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|June 6, 2007
PubMed
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The new Error-Amended Sharp Edge (EASE) scheme enhances image interpolation by reducing artifacts like blur and ringing. This method produces sharper, clearer high-resolution images, performing comparably to cubic interpolation methods.

Area of Science:

  • Computer Vision
  • Image Processing
  • Digital Signal Processing

Background:

  • Image interpolation is crucial for digital image processing, particularly for image zooming.
  • Traditional methods like bilinear interpolation often introduce artifacts such as blur and ringing (checkerboard effect).
  • Existing methods struggle to maintain edge clarity during magnification.

Purpose of the Study:

  • To introduce a novel image interpolation method, the Error-Amended Sharp Edge (EASE) scheme.
  • To mitigate common interpolation artifacts, specifically image blur and the checkerboard effect.
  • To improve the sharpness and clarity of high-resolution images generated through zooming.

Main Methods:

  • The EASE scheme modifies the bilinear interpolation method.

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  • It utilizes the classical interpolation error theorem in an edge-adaptive manner to correct interpolation errors.
  • The method is applied to image zooming with both integer and non-integer magnification factors.

    • Main Results:

    • EASE successfully reduces or removes interpolation artifacts like image blur and ringing.
    • The proposed scheme generates high-resolution images with significantly clearer and sharper edges compared to linear interpolation.
    • Performance was validated across a range of synthetic and natural images.

    Conclusions:

    • The EASE scheme offers a superior approach to image interpolation for zooming applications.
    • It effectively enhances image quality by preserving edge detail and reducing artifacts.
    • EASE is computationally efficient, comparable to cubic interpolation schemes, and easy to implement.