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A novel multiple objective optimized color watermarking scheme based on LWT-SVD domain using nature based Bat Algorithm and Firefly algorithm

机译:基于自然的蝙蝠算法和萤火虫算法的基于LWT-SVD域的多目标优化彩色水印方案

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摘要

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.
机译:为了远程访问医学图像,应在患者信息上加水印以确认医学图像。本文的目的是在提升小波变换和奇异值分解域中使用蝙蝠算法和萤火虫算法来优化多个目标。这里的多个目标是感知质量,安全性和鲁棒性。 Fibonacci-Lucas变换用于安全的彩色水印技术。该技术通过大小为1024×768的彩色USG扫描封面图像和大小为256×256的灰度患者图像进行了测试。此处,在YCbCr颜色空间中,彩色USG扫描主机图像的Y分量用于嵌入灰度水印图像。在PSNR方面,使用Bat算法可达到88.6196 dB的感知质量,而使用Firefly算法可达到88.5767 dB。该技术通过通过Bat算法获得0.9946,通过Firefly算法获得0.9945,显示水印图像的近似精确恢复。

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