基于四叉树分解和复小波变换的医学盲数字水印方法

Nadhir Nouioua, A. Seddiki, Abdelkrim Ghaz
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引用次数: 0

摘要

本文提出了一种基于双树复小波变换(DTCWT)和四叉树(QR)的数字水印方案,该方法首先对主图像施加DTCWT,然后利用四叉树分解低频图像,分解后得到合适的位置插入水印。利用基于量化的盲嵌入函数将水印嵌入到四叉树的后块中。在提取阶段,对水印图像进行与嵌入阶段相似的处理,然后采用基于提取公式的方法提取水印。实验结果表明,该方法在高保真度和相似度方面取得了较好的效果,并进行了对比,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blind Digital Watermarking Method Based on Quadtree Decomposition and Complex Wavelet Transform for Medical Application
A digital watermarking scheme based on dual-tree complex wavelet transform (DTCWT), and the quadtree (QR) is suggested in this paper, in this technique the DTCWT is exerted on the host image as a first step in the process, then decomposing the low frequencies using the quadtree which illustrates the data structure, to obtain a suitable position for the watermark insertion, once the decomposition is done, the watermark is incorporated in the consequent block of the quadtree using a blind embedding function based on quantization. At the extraction phase, the watermarked image is treated similarly to the embedding phase, then an extraction formula based is applied to retrieve the watermark. The experiments had shown the superior results achieved in terms of high fidelity and similitude, furthermore, a comparison was effectuated as well as to prove the suggested technique’s effectiveness.
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