A Study on Statistical Analysis for Performance Evaluation of Digital Watermarking
- Resource Type
- Conference
- Authors
- Saha, Anirban; Roy, Subhrajit Sinha; Basu, Abhishek; Chattopadhyay, Avik
- Source
- 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2023 Third International Conference on. :1-4 Jan, 2023
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Performance evaluation
Image quality
Digital images
Data security
Watermarking
Robustness
Analysis of variance
Statistical Analysis
ANOVA
Digital Watermarking
Image quality metrics
- Language
Performance evaluation for image quality assessment plays a very vital role in digital image watermarking. The main objective of this paper is to study the process of statistical analysis of image quality metrics for performance evaluation testing in digital image watermarking. This review gives the basic idea of statistical method ANOVA, which will help the researchers to assess the quality of their methods not only related to image watermarking but also to different fields of research of their own interests. The comprehensive study on some existing methods is also presented in this paper to show the effectiveness as well as the limitations of the performance evaluation metrics in the domain of digital image watermarking.