کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
529730 | 869697 | 2016 | 11 صفحه PDF | دانلود رایگان |
• We use the invariant mean value of a block to evaluate the local complexity.
• The block size can be set to a small value by the invariability of the mean value.
• The reduced size location map is created by the invariability of the mean value.
• We can modify flexibly each pixel in a block using DE or HS.
We propose a new scheme based on integer Haar wavelet transform (IHWT), which utilizes block selection and difference expansion (DE) (or histogram shifting (HS)). IHWT has the characteristic that the average of a block remains unchanged before and after watermark embedding. Hence, this invariability can be used for determining whether a block is located in a smooth region or not. Specifically, for a block, its mean value and the neighborhood surrounding it are used for estimating the correlation between it and its neighborhood. In this way, only a reduced size location map is needed, and the block size can also be set to a small value. Since small blocks have stronger intra-block correlation than large ones, the embedding distortion caused by modifying small blocks is lower. Otherwise, if the difference between any two neighboring pixels in a block is large, then the distortion produced by directly expanding it is also high. To decrease the class of distortions, DE (or HS) is introduced into the proposed method.
Journal: Journal of Visual Communication and Image Representation - Volume 35, February 2016, Pages 25–35