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Of particular interest to this work is the no-reference noisiness objective metric.
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This work was supported by Arthritis Research UK AR UKK grant reference no: 17552.
This work was supported by a Direct Grant from The Chinese University of Hong Kong (Reference No.: 2008.1.018).
All work is made in reference to what came before.
Work is no longer work.
ES: At the time of the initial work they were no references nor writers.
While full-reference and reduced-reference algorithms require full information or partial information of the reference image respectively, no reference information is required for no-reference algorithms.
Such exercises in nitpicking are relatively meaningless, as no reference work is infallible.
The reference work is Ansoff [17].
No numerical work is needed.
Tampering detection techniques can be divided into no-reference, reduced-reference, and full-reference approaches.
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