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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Image Sharpness Metric Based on Algebraic Multi-grid Method
Digital Object Identifier (DOI) : 10.14569/IJACSA.2014.050425
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 5 Issue 4, 2014.
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.
Keywords: image sharpness mean square error; algebraic multigrid method; sharpness metric; image reconstruction
Qian Ying, Ren Xue-mei, Huang Ying and Meng Li, “Image Sharpness Metric Based on Algebraic Multi-grid Method” International Journal of Advanced Computer Science and Applications(IJACSA), 5(4), 2014. http://dx.doi.org/10.14569/IJACSA.2014.050425
@article{Ying2014,
title = {Image Sharpness Metric Based on Algebraic Multi-grid Method},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2014.050425},
url = {http://dx.doi.org/10.14569/IJACSA.2014.050425},
year = {2014},
publisher = {The Science and Information Organization},
volume = {5},
number = {4},
author = {Qian Ying and Ren Xue-mei and Huang Ying and Meng Li}
}
