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Information hiding is popular technique to deal with copyright fraud and uncontrollable distribution of multimedia content but developers and researchers yet to get a standardized way regarding performance evaluation of information hiding schemes. This paper deals with the essential quality metrics which are used to measure and monitor the impairments of data caused by information hiding. Preferably, quality metrics should have the skill to emphasize the advantages and the weaknesses of the hiding method under test and allow for easy and efficient method. It is helpful for researchers in order to accurately predict the results and to score in new algorithm development as well as to compare different information hiding algorithms altogether on a perceptual quality viewpoint.


Copyright, Impairments, Information Hiding, Performance Evaluation, Perceptual Quality, Quality Metrics.
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