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Quantifying Intermembrane Distances with Serial Image Dilations
Published on: September 28, 2018
Large-capacity reversible image watermarking based on improved DE
Shaozhang Xiao1, Xingyuan Zuo1, Zhengwei Zhang1
1Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai'an, Jiangsu 223003, China.
Abstract:
Aiming at solving the problems of bad imperceptibility and low embedding rate of existing algorithms, a novel large-capacity reversible image watermarking based on improved difference expansion (DE) is proposed. Firstly, the smoothness calculation algorithm is used to calculate and sort the smoothness values of the divided image sub-blocks; then, the scrambled watermark is embedded into the sub-blocks with less smoothness after removing the abrupt point by using the generalized difference expansion (GDE); finally, the absolute difference operation is applied to the generated overflow pixels to make their pixel values within a reasonable range for embedding watermark information. Under the premise of ensuring a certain visual quality, multiple watermark embedding can effectively improve the embedding rate. The simulation results show that this algorithm not only realizes blind extraction, but also recovers the original images without loss. At the same time, this algorithm achieves a high embedding rate (the average embedding rate is as high as 77.91 dB) without decreasing the visual quality.

