Image Sharpness Metric Based on Algebraic Multi-grid Method

Abstract

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.

Authors and Affiliations

Qian Ying, Ren Xue-mei, Huang Ying, Meng Li

Keywords

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  • EP ID EP94145
  • DOI 10.14569/IJACSA.2014.050425
  • Views 104
  • Downloads 0

How To Cite

Qian Ying, Ren Xue-mei, Huang Ying, Meng Li (2014). Image Sharpness Metric Based on Algebraic Multi-grid Method. International Journal of Advanced Computer Science & Applications, 5(4), 175-179. https://europub.co.uk/articles/-A-94145