Semi blind color image watermarking using Slant transform
Roshan Koju, Shashidhar Ram Joshi · 2016
A novel method of semi-blind color image watermarking is proposed in this paper. The proposed method is performed by using slant transform along with discrete wavelet transform (DWT) and singular value decomposition (SVD). Color image is converted into YCbCr color space. Luminous component (Y) is decomposed using discrete wavelet transform. Singular value decomposition is applied on its selected sub band. Singular value decomposed cover image is watermarked using slant transformed watermark image. To observe performance of algorithm, scaling factor is varied from 0.01 to 0.1. The method was found to be highly imperceptible. The proposed system focuses on semi blind watermarking, imperceptibility analysis of watermarked image and performance evaluation metrics. This presented algorithm is realized in MATLAB.