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2019-12-10
Shiddik, Luthfi Rakha, Novamizanti, Ledya, Ramatryana, I N Apraz Nyoman, Hanifan, Hasya Azqia.  2019.  Compressive Sampling for Robust Video Watermarking Based on BCH Code in SWT-SVD Domain. 2019 International Conference on Sustainable Engineering and Creative Computing (ICSECC). :223-227.

The security and confidentiality of the data can be guaranteed by using a technique called watermarking. In this study, compressive sampling is designed and analyzed on video watermarking. Before the watermark compression process was carried out, the watermark was encoding the Bose Chaudhuri Hocquenghem Code (BCH Code). After that, the watermark is processed using the Discrete Sine Transform (DST) and Discrete Wavelet Transform (DWT). The watermark insertion process to the video host using the Stationary Wavelet Transform (SWT), and Singular Value Decomposition (SVD) methods. The results of our system are obtained with the PSNR 47.269 dB, MSE 1.712, and BER 0.080. The system is resistant to Gaussian Blur and rescaling noise attacks.

2018-01-23
Chandran, V., Sekhar, A..  2017.  A secure and reliable channel error correction technique for picode. 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE). :1–4.

With the advent of QR readers and mobile phones the use of graphical codes like QR codes and data matrix code has become very popular. Despite the noise like appearance, it has the advantage of high data capacity, damage resistance and fast decoding robustness. The proposed system embeds the image chosen by the user to develop visually appealing QR codes with improved decoding robustness using BCH algorithm. The QR information bits are encoded into luminance value of the input image. The developed Picode can inspire perceptivity in multimedia applications and can ensure data security for instances like online payments. The system is implemented on Matlab and ARM cortex A8.