Image Sharpness Metric Based on Algebraic Multi-Grid Method

نویسندگان

  • Qian Ying
  • Meng Li
چکیده

In order to improve Mean Square Error of its reliance on reference images when evaluating image sharpness, the no-reference metric based on algebraic multi-grid is proposed. The proposed metric first reconstructs the original image by Algebraic Multi-grid (AMG), then compute the Mean Square Error between original image and reconstructed image, the result represents image sharpness. Experiments show that the proposed sharpness metric has better practicability and monotonicity, correlates well with the perceived sharpness. The algorithm has superiority in image sharpness metric. Keywords—image sharpness mean square error; algebraic multigrid method; sharpness metric; image reconstruction

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تاریخ انتشار 2014