采用基于自然的Bat算法和Firefly算法,提出了一种基于LWT-SVD域的多目标优化彩色水印方案

Shveti Sejpal, Nikesh Shah
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引用次数: 7

摘要

为了实现医学图像的远程访问,需要对患者信息进行水印,以确定医学图像。本文的目的是利用蝙蝠算法和萤火虫算法在提升小波变换和奇异值分解领域对多目标进行优化。这里的多重目标是感知质量、安全性和鲁棒性。采用斐波那契-卢卡斯变换实现安全彩色水印技术。用彩色USG扫描封面图像1024 × 768和灰度患者图像256 × 256进行测试。在YCbCr色彩空间中,利用彩色USG扫描主机图像的Y分量嵌入灰度水印图像。在PSNR方面,使用Bat算法和Firefly算法的感知质量分别达到88.6196 dB和88.5767 dB。该技术通过Bat算法和Firefly算法分别获得NC值0.9946和0.9945,显示了水印图像接近精确恢复的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel multiple objective optimized color watermarking scheme based on LWT-SVD domain using nature based Bat Algorithm and Firefly algorithm
For the remote access of the medical image it should be watermarked with the patient information to ascertain the medical image. The purpose of the this paper is to optimize multiple objectives using bat Algorithm and firefly algorithm in Lifting Wavelet Transform and Singular value Decomposition domain. Here the multiple objectives are the perceptual quality, security and robustness. Fibonacci-Lucas Transform is implemented for secured color watermarking technique. The technique is tested with color USG Scan cover image of size 1024 × 768 and gray scale patient image of size 256 × 256. Here in YCbCr color space the Y component of color USG scan host image is used for embedding the gray scale watermark image. In term of PSNR the perceptual quality is achieved 88.6196 dB using Bat algorithm and 88.5767 dB using Firefly algorithm. This technique shows the near about exact recovery of watermark image by getting NC 0.9946 through Bat algorithm and 0.9945 through Firefly algorithm.
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