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Some Studies on Quality Metrics for Information Hiding


Affiliations
1 RCC Institute of Information Technology, Kolkata 700015, West Bengal, India
2 Guru Nanak Institute of Technology, Kolkata-700114, West Bengal, India
 

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.

Keywords

Copyright, Impairments, Information Hiding, Performance Evaluation, Perceptual Quality, Quality Metrics.
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  • Some Studies on Quality Metrics for Information Hiding

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Authors

Abhishek Basu
RCC Institute of Information Technology, Kolkata 700015, West Bengal, India
Anup Kolya
RCC Institute of Information Technology, Kolkata 700015, West Bengal, India
Partha Pratim Chowdhury
RCC Institute of Information Technology, Kolkata 700015, West Bengal, India
Angana Malik
RCC Institute of Information Technology, Kolkata 700015, West Bengal, India
Sritama Das
RCC Institute of Information Technology, Kolkata 700015, West Bengal, India
Samaresh Gayen
RCC Institute of Information Technology, Kolkata 700015, West Bengal, India
Ankur Mondal
Guru Nanak Institute of Technology, Kolkata-700114, West Bengal, India

Abstract


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.

Keywords


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

References