Design and Development of a Multiobjective Cost Function for Robust Video Watermarking Using Wavelet Transform

Watermarking is the process of concealing the secret message into multimedia sources, such as audio, image, and video. Rather than other steganography, video watermarking is mainly focused on the robustness of the system. In this paper, we propose the multiobjective cost function for video watermarking. Initially, the cover image (video frame) is subjected into cost function computation. Then, the cost function is newly designed and developed by various objectives, such as intensity, energy, edge, coverage, and brightness. Subsequently, the wavelet transform is applied to the original frame that acquires a wavelet coefficient-based video frame. Simultaneously, the secret message is partitioned into binary images using the bit plane technique. According to the cost value, the message bit is embedded into the wavelet coefficients in the embedding phase. In the extraction phase, the secret message is retrieved. Finally, the experimental results are validated, and performance is analyzed using metrics, correlation coefficients, and peak-to-signal noise ratio (PSNR). From the results, it can be shown that the proposed method attains 98.19 dB PSNR and 1.00 correlation coefficient value to provide better robustness of the system.