Harsh K Verma
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Harsh K Verma has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Abhishek Narain Singh
Assistant Professor, Institute of Management Technology Nagpur, Nagpur, Maharashtra, India
1 shared publication - Raman Kumar
Department of Computer Science and Engineering, I K Gujral Punjab Technical University, Kapurthala, India
1 shared publication
Latest Publications
- Open Access
Robustness of the Digital Image Watermarking Techniques against Brightness and Rotation Attack
The recent advent in the field of multimedia proposed a many facilities in transport, transmission and manipulation of data. Along with this advancement of facilities there are larger threats in authentication of data, its licensed use and protection against illegal use of data. A lot of digital image watermarking techniques have been designed and implemented to stop the illegal use of the digital multimedia images. This paper compares the robustness of three different watermarking schemes against brightness and rotation attacks. The robustness of the watermarked images has been verified on the parameters of PSNR (Peak Signal to Noise Ratio), RMSE (Root Mean Square Error) and MAE (Mean Absolute Error).
Open AccessRobustness of the Digital Image Watermarking Techniques against Brightness and Rotation Attack
The recent advent in the field of multimedia proposed a many facilities in transport, transmission and manipulation of data. Along with this advancement of facilities there are larger threats in authentication of data, its licensed use and protection against illegal use of data. A lot of digital image watermarking techniques have been designed and implemented to stop the illegal use of the digital multimedia images. This paper compares the robustness of three different watermarking schemes against brightness and rotation attacks. The robustness of the watermarked images has been verified on the parameters of PSNR (Peak Signal to Noise Ratio), RMSE (Root Mean Square Error) and MAE (Mean Absolute Error).