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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LWT-SVD域的新型多目标优化彩色水印方案,基于LWT-SVD域和Firefly算法

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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:对于医学图像的远程访问,它应该与患者信息进行水印,以确定医学图像。本文的目的是在提升小波变换和奇异值分解域中使用BAT算法和Firefly算法来优化多个目标。这里多目标是感知质量,安全性和鲁棒性。为安全彩色水印技术实施了Fibonacci-Lucas变换。该技术用尺寸1024×768的彩色USG扫描盖图像进行测试,尺寸为256×256的灰度患者图像。在YCBCR颜色空间中,颜色USG扫描主机图像的Y分量用于嵌入灰度水印图像。在PSNR期间,使用萤火虫算法,使用BAT算法和88.5767 dB实现了感知质量88.6196 dB。通过通过萤火虫算法将NC 0.9946和0.9945通过蝙蝠算法获得NC 0.9946,该技术显示了近似的水印图像的精确恢复。

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