基于小波域失真补偿的健康信息系统可逆数字水印
Reversible Image Watermarking for Health Informatics Systems Using Distortion Compensation in Wavelet Domain
摘要：
可逆图像水印技术是指在嵌入水印后的图像中同时恢复原始封面和水印标识的技术。可逆水印下图像的容量和失真度是两个重要的参数。本文研究了一种可逆数字水印算法，其主要目的是提高水印的嵌入容量，减少医学图像的失真。水印嵌入采用双小波变换，每次迭代在一个变换系数中嵌入一个水印比特。我们设计了一种新的方法，当一个系数在迭代中被修改，产生的失真在下一次迭代中得到补偿。这种失真补偿方法将导致低失真率。所提出的方法进行了测试四种类型的医学图像，包括MRI的大脑，心脏MRI，MRI的乳房，肠息肉图像。使用一级小波变换，最大容量为1.5 BPP。实验结果表明，该方法在容量和失真方面优于现有的方法。
英文摘要：
Reversible image watermarking guaranties restoration of both original cover and watermark logo from the watermarked image. Capacity and distortion of the image under reversible watermarking are two important parameters. In this study a reversible watermarking is investigated with focusing on increasing the embedding capacity and reducing the distortion in medical images. Integer wavelet transform is used for embedding where in each iteration, one watermark bit is embedded in one transform coefficient. We devise a novel approach that when a coefficient is modified in an iteration, the produced distortion is compensated in the next iteration. This distortion compensation method would result in low distortion rate. The proposed method is tested on four types of medical images including MRI of brain, cardiac MRI, MRI of breast, and intestinal polyp images. Using a one-level wavelet transform, maximum capacity of 1.5 BPP is obtained. Experimental results demonstrate that the proposed method is superior to the state-of-the-art works in terms of capacity and distortion.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
