A new blind color image watermarking based on a psychovisual model and quantization approaches
Pascal Lefevre, Philippe C. Carré, Philippe Gaborit · 2017
Over the last few years, considering 3D vectors as one color information instead of three independent vector components has significantly improved the color watermarking field. There have been some research about perceptual approaches but there are few about the perception of color differences of the human vision system (HVS) for watermarking applications. This paper propose a new color watermarking algorithm able to minimize the perception of color differences. It understands color information as the HVS does. It can easily be adapted to many watermarking schemes such as quantization based schemes [1] or spread spectrum insertion techniques. This algorithm is based on a psychovisual model of the human eye studied by D. Alleysson [2]. The results showed good improvements in terms of watermark invisibility and robustness to image processings: we compared quantization methods working in grayscale and its color adaptation to show model stability or improvement.