Novel Steganography with Discrete Wavelet Transform for Copyright Protection and Performance Evaluation

Abstract

Abstract The art and science of hiding information in digital images has become more important in modern times. Currently, a significant amount of one's personal information is openly accessible at a variety of places on the internet in the form of text photographs and video. In this investigation, the data hiding is carried out by altering the coefficients, which is carried out by means of a discrete wavelet transform. Data hiding in frequency domain technique (DFT) offers many advantages as compared to time domain techniques. The scaling factor (SF) is a parameter that influences numerous performance characteristics, such as peak signal-to-noise ratio (PSNR), similarity index, and histogram analysis. The trade-off between SF and PSNR is there and is still relevant in the presence of Gaussian noise, Salt and pepper noise, filtering, and compression.