SVD

A watermarking scheme for color images that achieves optimality using the Transit Search Algorithm

This paper describes an innovative watermarking method that combines discrete wavelet transform (DWT), Hessenberg decomposition (HD), and singular value decomposition (SVD).  To do this, the main image and the watermark are divided into three channels (red, green and blue – RGB).  Then, each part of the main image individually undergoes the steps of DWT, HD and SVD, while the watermark components are processed by SVD.