Palette Partition Based Data Hiding for Color Images
Yu-Chiang Li, Piyu Tsai, Chih‐Hung Lin, Hsiu‐Lien Yeh, Chien-Ting Huang · 2009
In this paper, a palette partition based data hiding for color images is proposed. The palette used in color image quantization is partitioned into sub-palettes according to the similarity of colors. Any size of subpalettes is permitted and a color can appear in several sub-palettes at the same time. Furthermore, a mapping function is designed to process color embedding for color belongs to three-color sub-palette. The experimental results show that the proposed scheme has a higher hiding capacity than that of the similar methods. Furthermore, a large ratio between embedded secret image and the image distortion is obtained by the proposed scheme.