Binary image scrambling evaluation method based on the mean square deviation and the bipartite graph
Citations
4 citations
Cites methods from "Binary image scrambling evaluation ..."
...In [10], an image was divided into blocks, and the two-block bipartite graph and standard deviation were calculated, which could be used to evaluate the scrambling degree, but were only limited to the binary image scrambling degree evaluation....
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3 citations
1 citations
Cites methods from "Binary image scrambling evaluation ..."
...MSD method reflects the degree of dispersion of a data set [20]....
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...method [20] often resort to the distribution of all indicator values....
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1 citations
Cites methods from "Binary image scrambling evaluation ..."
..., deviation evaluation method [8] and mean square deviation evaluation method [9], often resort to manually adjust weights for all indicators and then calculate the final score of each cell....
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1 citations
Cites background from "Binary image scrambling evaluation ..."
...In [10], it combines mean square signal-to-noise ratio and optimal blocks applied in color images which can correctly evaluate the image scrambling degree to a certain extent, but lacks the consideration of the global information of images so that some image scrambling evaluation is not conformity with visual effect....
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References
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"Binary image scrambling evaluation ..." refers methods in this paper
...An evaluation method for the scrambling degree of the binary image is put fOl'Ward by quoting the concepts of the bipartite graph and its degree along with applying the characteristic which the variance and mean square deviation can measure the discrete degree of nodes according to the pixels…...
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3 citations