Article ID Journal Published Year Pages File Type
529730 Journal of Visual Communication and Image Representation 2016 11 Pages PDF
Abstract

•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.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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